APAC IPOs & Placements, Aequitas Research

Akshat Shah

APAC IPOs & Placements

IPOs and Placements coverage across Asia Pacific

Aequitas Research

We cover all listing across the Asia Pacific along with follow-up placements. As of Dec 2020, our team had covered 539 IPOs with a hit rate of 73.5% and 685 placements with a hit rate of 66.8%.

We combine fundamental bottom-up views with our proprietary quantitative framework to provide a holistic coverage across new listings and placements. Our coverage includes pre-IPO notes before the deal is launched, follow-up analysis once the deal is live and post-listing trading analysis as well.

Equity Capital Markets

Lotte Global Logistics / Equity Capital Markets

<ul>
<li>
<a href="https://www.smartkarma.com/entities/lotte-global-logistics-co" target="_blank" data-smartkarma-citation="entities:45000:1" rel="noopener">Lotte Global Logistics (LGG KS)</a> aims to raise around US$140m in its Korea IPO via selling a mix of primary and secondary shares.</li>
<li>Lotte Global Logistics is a logistics and shipping company engaged in a comprehensive logistics service business including courier service, land transportation, 3PL, port loading and unloading, and international logistics.</li>
<li>In our previous note, we looked at the firm’s past performance. In this note, we talk about the IPO valuations.</li>
</ul>



Lotte Global Logistics (LGG KS) aims to raise around US$140m in its Korea IPO via selling a mix of primary and secondary shares.
Lotte Global Logistics is a logistics and shipping company engaged in a comprehensive logistics service business including courier service, land transportation, 3PL, port loading and unloading, and international logistics.
In our previous note, we looked at the firm’s past performance. In this note, we talk about the IPO valuations.


Lotte Global Logistics IPO - Thoughts on Peer Comp and Valuation

<ul>
<li>
<a href="https://www.smartkarma.com/entities/lotte-global-logistics-co" target="_blank" data-smartkarma-citation="entities:45000:1" rel="noopener">Lotte Global Logistics (LGG KS)</a> aims to raise around US$140m in its Korea IPO via selling a mix of primary and secondary shares.</li>
<li>Lotte Global Logistics is a logistics and shipping company engaged in a comprehensive logistics service business including courier service, land transportation, 3PL, port loading and unloading, and international logistics.</li>
<li>In this note, we talk about the company’s historical performance.</li>
</ul>



Lotte Global Logistics (LGG KS) aims to raise around US$140m in its Korea IPO via selling a mix of primary and secondary shares.
Lotte Global Logistics is a logistics and shipping company engaged in a comprehensive logistics service business including courier service, land transportation, 3PL, port loading and unloading, and international logistics.
In this note, we talk about the company’s historical performance.


Lotte Logistics Pre-IPO - Sluggish Revenues, High Dependence on Group Affiliates

Korea / Special Sits, Pairs, Index Rebalancing, Clepsydra Capital

Sanghyun Park

Korea / Special Sits, Pairs, Index Rebalancing

Clepsydra Capital

Investigate special situations, pairs, and index rebalancing trades in Korea.

<div><div><h2>Offering size</h2></div></div><div>
<p>Lotte Rental offers 14.4M shares, which account for 49.02% of the pre-IPO total shares, of which 55-75% are allocated to institutions. It will be listed on KOSPI.</p>
<table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Offering size"}'>Offering size</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ticker"}' data-sheets-formula="=R[-43]C[0]">Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"089862"}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}' data-sheets-formula="=R[-43]C[0]">089862</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Bourse"}' data-sheets-formula="=R[-43]C[0]">Bourse</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"KOSPI"}' data-sheets-numberformat='{"1":2,"2":"[$₩-412]#,##0","3":1}' data-sheets-formula="=R[-43]C[0]">KOSPI</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Offering"}'><strong>Offering</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":14422000}' data-sheets-numberformat='{"1":2,"2":"#,##0","3":1}' data-sheets-formula="=R[-40]C[0]"><strong>14,422,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"- % of pre-IPO SO"}'><strong>- % of pre-IPO SO</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.4901607585902185}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-38]C[0]"><strong>49.02%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Institutional allotment"}'><strong>Institutional allotment</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"55.00~75.00%"}'><strong>55.00~75.00%</strong></td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
<div class="content-highlight">
<p><strong>Who is Lotte Rental?</strong></p>
<p>Lotte Rental is the number one car rental company in Korea. Lotte Rental has 220 branches and sales offices nationwide and operates 210,000 vehicles.</p>
<p>In 1990, Kumho Asiana Group partnered with Hertz to establish Lotte Rental. Since then, it has grown into the largest car rental company in Korea. In 2010, Kumho Group sold it to KT for ₩300B. Five years after KT acquired it, it was again sold to Lotte Group for ₩1.2T, and the corporate name was changed to the current Lotte Rental. Meanwhile, in 2020, Lotte Rental solidified its No. 1 position in the industry by acquiring the rental car division owned by Hanjin.</p>
<p><strong>Lotte Rental is currently engaged in car rental and used car sales, and office/construction equipment rentals.</strong></p>
<p>As of the first quarter of 2021,</p>
<ul>
<li>
<strong>Car rental sales</strong> accounted for <strong>62.07%</strong> of total sales.</li>
<li>
<strong>Used car sales</strong> accounted for <strong>28.77%</strong> of total sales.</li>
<li>
<strong>Office/construction equipment rentals</strong> accounted for <strong>9.16%</strong> of total sales.</li>
</ul>
</div>
<section><div id="ember7914"><div id="ember7921">
<div><div><h2>Split</h2></div></div>
<div>
<p>This IPO is a split offering with a primary of 50% and a secondary of 50%. As a result, this offering will see a capital increase rate of 24.5% with a shareholding dilution of 19.7%. This event is free of any additional options: cornerstone, clawback, or greenshoe.</p>
<table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Split"}'>Split</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Primary %"}'><strong>Primary %</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.5000043683261683}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-40]C[0]"><strong>50.00%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Secondary %"}'><strong>Secondary %</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.49999563167383165}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-39]C[0]"><strong>50.00%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Capital increase rate"}'>Capital increase rate</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.2450825204771777}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-37]C[0]">24.51%</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Dilution"}'>Dilution</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.19684038322475997}' data-sheets-numberformat='{"1":3,"2":"0.00%","3":1}' data-sheets-formula="=R[-37]C[0]">19.68%</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
</div>
<div><div><h2>Schedule</h2></div></div>
<div><p>The book opens on August 3 (for both local and overseas investors) and runs for two days until August 4. The allotment will be on August 6, finalizing an offering price. The subscription falls on August 9.</p></div>
</div></div></section>
</div><table class="table table-striped">
<colgroup>
<col width="200">
<col width="200">
</colgroup>
<tbody>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Schedule"}'>Schedule</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Book open"}'><strong>Book open</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44411}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 8. 3</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Book close"}'>Book close</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44412}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 8. 4</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Allotment"}'><strong>Allotment</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44414}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 8. 6</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Subscription"}'><strong>Subscription</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44417}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'><strong>2021. 8. 9</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Payment"}'>Payment</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":44420}' data-sheets-numberformat='{"1":5,"2":"yyyy. m. d","3":1}'>2021. 8. 12</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Listing"}'>Listing</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"TBA"}'>TBA</td>
</tr>
<tr><td colspan="2" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table><div><section><div id="ember7914"><div id="ember7921">
<div><div><h2>Pricing</h2></div></div>
<div>
<p>This IPO also uses EV/EBITDA. The corporate value was determined after selecting only two local rental companies:</p>
<ol>
<li><strong>SK Rent A Car (068400)</strong></li>
<li><strong>AJ Networks (095570)</strong></li>
</ol>
<p>The respective EV/EBITDA multiples are 5.47x for SK Rent A Car and 5.44x for AJ Networks, giving <strong>an average of 5.46x</strong>.</p>
<table class="table table-striped">
<colgroup>
<col width="200">
<col width="150">
<col width="150">
<col width="150">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Valuation peers: EV/EBITDA"}'>Valuation peers: EV/EBITDA</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"SK Rent A Car Co Ltd"}' data-sheets-formula='=googlefinance(R[1]C[0], "name")'>SK Rent A Car Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"AJ Networks Co Ltd"}' data-sheets-formula='=googlefinance(R[1]C[0], "name")'>AJ Networks Co Ltd</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Note"}'>Note</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Ticker"}'>Ticker</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"068400"}' data-sheets-formula='="068400"'>068400</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"095570"}' data-sheets-formula='="095570"'>095570</td>
<td style="text-align: right;"></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Reference market cap"}'>Reference market cap</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":657.7460344}' data-sheets-formula="=R[1]C[0]*R[2]C[0]/1000000000">₩657.7B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":272.646223785}' data-sheets-formula="=R[1]C[0]*R[2]C[0]/1000000000">₩272.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"A = a) × b)"}'>A = a) × b)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Shares outstanding"}'>Shares outstanding</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":47285840}'>47,285,840</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":46822295}'>46,822,295</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"a)"}'>a)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Reference share price: MIN[1M Avg, 1W Avg, 1D Close]"}'>Reference share price: MIN[1M Avg, 1W Avg, 1D Close]</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":13910}'>₩13,910</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5823}'>₩5,823</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"b)"}'>b)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Net debt, as of 1Q21"}'>Net debt, as of 1Q21</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1568.98}'>₩1,569.0B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":911.167}'>₩911.2B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"B"}'>B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Enterprise value (EV)"}'>Enterprise value (EV)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2226.7260344}' data-sheets-formula="=R[-4]C[0]+R[-1]C[0]">₩2,226.7B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1183.813223785}' data-sheets-formula="=R[-4]C[0]+R[-1]C[0]">₩1,183.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"C = A + B"}'>C = A + B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"EBITDA: 2Q20~1Q21"}'>EBITDA: 2Q20~1Q21</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":407.02}'>₩407.0B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":217.525}'>₩217.5B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"D = c) + d)"}'>D = c) + d)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Operating profit: 2Q20~1Q21"}'>Operating profit: 2Q20~1Q21</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":71.245}'>₩71.2B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":18.324}'>₩18.3B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"c)"}'>c)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Depreciation &amp; Amortization: 2Q20~1Q21"}'>Depreciation &amp; Amortization: 2Q20~1Q21</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":335.774}'>₩335.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":199.202}'>₩199.2B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"d)"}'>d)</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"EV/EBITDA"}'><strong>EV/EBITDA</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5.47080250208835}' data-sheets-formula="=R[-4]C[0]/R[-3]C[0]"><strong>5.47x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5.442193880174693}' data-sheets-formula="=R[-4]C[0]/R[-3]C[0]"><strong>5.44x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"E = C / D"}'>E = C / D</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Average EV/EBITDA"}'><strong>Average EV/EBITDA</strong></td>
<td colspan="2" rowspan="1" style="text-align: center;" data-sheets-value='{"1":3,"3":5.456498191131521}' data-sheets-formula="=average(R[-1]C[0]:R[-1]C[1])"><strong>5.46x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"-"}'>-</td>
</tr>
<tr><td colspan="4" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table>
</div>
<div><div>The averaged EV/EBITDA multiple of 5.46x was applied to Lott Rental's EBITDA of ₩1,120.6B from the second quarter of last year to the first quarter of this year. As a result, we have a price per share of ₩77,708, giving <strong>a market cap of ₩2.85T</strong>.</div></div>
<div><table class="table table-striped">
<colgroup>
<col width="200">
<col width="150">
<col width="150">
</colgroup>
<tbody>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Lotte Rental: EV/EBITDA"}' data-sheets-formula='=Terms!R[-13]C[1]&amp;": EV/EBITDA"'>Lotte Rental: EV/EBITDA</td></tr>
<tr>
<td data-sheets-value='{"1":2,"2":"EBITDA: 2Q20~1Q21"}'>EBITDA: 2Q20~1Q21</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1120.574}'>₩1,120.6B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"A"}'>A</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"EV/EBITDA"}'>EV/EBITDA</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":5.456498191131521}' data-sheets-formula="=R[-5]C[0]">5.46x</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"B"}'>B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Enterprise value (EV)"}'>Enterprise value (EV)</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":6114.410004029013}' data-sheets-formula="=R[-2]C[0]*R[-1]C[0]">₩6,114.4B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"C = A X B"}'>C = A X B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Net debt"}'>Net debt</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":3267.667}'>₩3,267.7B</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"D"}'>D</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Market cap"}'><strong>Market cap</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2846.7430040290133}' data-sheets-formula="=R[-2]C[0]-R[-1]C[0]"><strong>₩2,846.7B</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"E = C - D"}'><strong>E = C - D</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Post-IPO total shares"}'>Post-IPO total shares</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":36634063}' data-sheets-formula="=Terms!R[-3]C[0]">36,634,063</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"F"}'>F</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Price per share"}'><strong>Price per share</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":77707.54240470169}' data-sheets-formula="=R[-2]C[0]*1000000000/R[-1]C[0]"><strong>₩77,708</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"G = E / F"}'><strong>G = E / F</strong></td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table></div>
<div><div><div>The indicative price band lies between ₩47,000 and ₩59,000. This is obtained by applying a discount rate of <strong>24.07% to 39.52% to the market cap of ₩2.85T</strong> calculated through EV/EBITDA. This much discount gives an <strong>EV/EBITDA multiple of 4.45x to 4.84x</strong>.</div></div></div>
<div><table class="table table-striped">
<colgroup>
<col width="200">
<col width="150">
<col width="150">
</colgroup>
<tbody>
<tr>
<td data-sheets-value='{"1":2,"2":"Indicative price band"}'>Indicative price band</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"Low"}'>Low</td>
<td style="text-align: right;" data-sheets-value='{"1":2,"2":"High"}'>High</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Price"}'><strong>Price</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":47000}'><strong>₩47,000</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":59000}'><strong>₩59,000</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Base deal size"}'>Base deal size</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":677.834}' data-sheets-formula="=R[-1]C[0]*Terms!R8C2/1000000000">₩677.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":850.898}' data-sheets-formula="=R[-1]C[0]*Terms!R8C2/1000000000">₩850.9B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Institutional allotment"}'>- Institutional allotment</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":372.8087}' data-sheets-formula="=R[-1]C[0]*Terms!R12C2">₩372.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":467.99390000000005}' data-sheets-formula="=R[-1]C[0]*Terms!R12C2">₩468.0B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"Implied market cap"}'>Implied market cap</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":1721.800961}' data-sheets-formula="=R[-3]C[0]*Terms!R18C2/1000000000">₩1,721.8B</td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":2161.409717}' data-sheets-formula="=R[-3]C[0]*Terms!R18C2/1000000000">₩2,161.4B</td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":" - Discount"}'><strong>- Discount</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.395168106652717}' data-sheets-formula="=(R22C2-R[-4]C[0])/R22C2"><strong>39.52%</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":0.24074294239383626}' data-sheets-formula="=(R22C2-R[-4]C[0])/R22C2"><strong>24.07%</strong></td>
</tr>
<tr>
<td data-sheets-value='{"1":2,"2":"EV/EBITDA"}'><strong>EV/EBITDA</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4.452600150458604}' data-sheets-formula="=(R[-2]C[0]+R[-12]C[0])/R[-15]C[0]"><strong>4.45x</strong></td>
<td style="text-align: right;" data-sheets-value='{"1":3,"3":4.844906911100917}' data-sheets-formula="=(R[-2]C[0]+R[-12]C[-1])/R[-15]C[-1]"><strong>4.84x</strong></td>
</tr>
<tr><td colspan="3" rowspan="1" data-sheets-value='{"1":2,"2":"Source: DART"}'>Source: DART</td></tr>
</tbody>
</table></div>
</div></div></section></div>

Offering size
Lotte Rental offers 14.4M shares, which account for 49.02% of the pre-IPO total shares, of which 55-75% are allocated to institutions. It will be listed on KOSPI.






Offering size

Ticker
089862


Bourse
KOSPI


Offering
14,422,000


- % of pre-IPO SO
49.02%


Institutional allotment
55.00~75.00%

Source: DART



Who is Lotte Rental?
Lotte Rental is the number one car rental company in Korea. Lotte Rental has 220 branches and sales offices nationwide and operates 210,000 vehicles.
In 1990, Kumho Asiana Group partnered with Hertz to establish Lotte Rental. Since then, it has grown into the largest car rental company in Korea. In 2010, Kumho Group sold it to KT for ₩300B. Five years after KT acquired it, it was again sold to Lotte Group for ₩1.2T, and the corporate name was changed to the current Lotte Rental. Meanwhile, in 2020, Lotte Rental solidified its No. 1 position in the industry by acquiring the rental car division owned by Hanjin.
Lotte Rental is currently engaged in car rental and used car sales, and office/construction equipment rentals.
As of the first quarter of 2021,


Car rental sales accounted for 62.07% of total sales.

Used car sales accounted for 28.77% of total sales.

Office/construction equipment rentals accounted for 9.16% of total sales.



Split

This IPO is a split offering with a primary of 50% and a secondary of 50%. As a result, this offering will see a capital increase rate of 24.5% with a shareholding dilution of 19.7%. This event is free of any additional options: cornerstone, clawback, or greenshoe.






Split

Primary %
50.00%


Secondary %
50.00%


Capital increase rate
24.51%


Dilution
19.68%

Source: DART



Schedule
The book opens on August 3 (for both local and overseas investors) and runs for two days until August 4. The allotment will be on August 6, finalizing an offering price. The subscription falls on August 9.







Schedule

Book open
2021. 8. 3


Book close
2021. 8. 4


Allotment
2021. 8. 6


Subscription
2021. 8. 9


Payment
2021. 8. 12


Listing
TBA

Source: DART


Pricing

This IPO also uses EV/EBITDA. The corporate value was determined after selecting only two local rental companies:

SK Rent A Car (068400)
AJ Networks (095570)

The respective EV/EBITDA multiples are 5.47x for SK Rent A Car and 5.44x for AJ Networks, giving an average of 5.46x.









Valuation peers: EV/EBITDA
SK Rent A Car Co Ltd
AJ Networks Co Ltd
Note


Ticker
068400
095570



Reference market cap
₩657.7B
₩272.6B
A = a) × b)


Shares outstanding
47,285,840
46,822,295
a)


Reference share price: MIN[1M Avg, 1W Avg, 1D Close]
₩13,910
₩5,823
b)


Net debt, as of 1Q21
₩1,569.0B
₩911.2B
B


Enterprise value (EV)
₩2,226.7B
₩1,183.8B
C = A + B


EBITDA: 2Q20~1Q21
₩407.0B
₩217.5B
D = c) + d)


Operating profit: 2Q20~1Q21
₩71.2B
₩18.3B
c)


Depreciation &amp; Amortization: 2Q20~1Q21
₩335.8B
₩199.2B
d)


EV/EBITDA
5.47x
5.44x
E = C / D


Average EV/EBITDA
5.46x
-

Source: DART



The averaged EV/EBITDA multiple of 5.46x was applied to Lott Rental's EBITDA of ₩1,120.6B from the second quarter of last year to the first quarter of this year. As a result, we have a price per share of ₩77,708, giving a market cap of ₩2.85T.







Lotte Rental: EV/EBITDA

EBITDA: 2Q20~1Q21
₩1,120.6B
A


EV/EBITDA
5.46x
B


Enterprise value (EV)
₩6,114.4B
C = A X B


Net debt
₩3,267.7B
D


Market cap
₩2,846.7B
E = C - D


Post-IPO total shares
36,634,063
F


Price per share
₩77,708
G = E / F

Source: DART


The indicative price band lies between ₩47,000 and ₩59,000. This is obtained by applying a discount rate of 24.07% to 39.52% to the market cap of ₩2.85T calculated through EV/EBITDA. This much discount gives an EV/EBITDA multiple of 4.45x to 4.84x.








Indicative price band
Low
High


Price
₩47,000
₩59,000


Base deal size
₩677.8B
₩850.9B


- Institutional allotment
₩372.8B
₩468.0B


Implied market cap
₩1,721.8B
₩2,161.4B


- Discount
39.52%
24.07%


EV/EBITDA
4.45x
4.84x

Source: DART




Lotte Rental (Feat. Car Sharing Unicorn Green Car) IPO: Offering Details & Valuation Issues

Event-Driven

<p>We now have a fresh round of Lotte's family feud. The elder brother, Shin Dong-ju, made a shareholder proposal to remove his brother, Shin Dong-bin, from his post at Lotte Holdings Japan.</p><p><a href="https://biz.chosun.com/site/data/html_dir/2020/04/28/2020042802253.html" target="_blank" rel="noopener">Here is the link to the news report about SDJ making a shareholder proposal.</a></p><p>Unsurprisingly, it immediately created a spark in the market. <a href="https://www.smartkarma.com/entities/lotte-corporation" target="_blank" data-smartkarma-citation="entities:16050:1" rel="noopener">Lotte Corporation (004990 KS)</a> eventually hit the daily ceiling today (+30%) on the expectation that we may see a Hanjin Kal-like price movement.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/130/219/original/2.png?1588072107" class="editor-image img-responsive" data-smartkarma-image-id="130219"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/130/220/original/chart%20%281%29.png?1588072252" class="editor-image img-responsive" data-smartkarma-image-id="130220"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/130/221/original/chart.png?1588072262" class="editor-image img-responsive" data-smartkarma-image-id="130221"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/130/222/original/3.png?1588072269" class="editor-image img-responsive" data-smartkarma-image-id="130222"></figure><p><a href="https://biz.chosun.com/site/data/html_dir/2020/04/28/2020042802253.html" target="_blank" rel="noopener"></a></p>

We now have a fresh round of Lotte's family feud. The elder brother, Shin Dong-ju, made a shareholder proposal to remove his brother, Shin Dong-bin, from his post at Lotte Holdings Japan.Here is the link to the news report about SDJ making a shareholder proposal.Unsurprisingly, it immediately created a spark in the market. Lotte Corporation (004990 KS) eventually hit the daily ceiling today (+30%) on the expectation that we may see a Hanjin Kal-like price movement.

Lotte Holdings: Another Hanjin Kal Story?

<p>Lotte Holdings is a pure holding company. It is currently at a 47.1% discount to its NAV.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/397/original/1.png?1585515426" class="editor-image img-responsive" data-smartkarma-image-id="125397"></figure><p>It's pretty much a two-sub synthetic stub. Lotte Chemical takes 63.5%, whereas Lotte Shopping features 36.5%.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/398/original/5.png?1585515580" class="editor-image img-responsive" data-smartkarma-image-id="125398"></figure><p>The liquidity situation isn't too bad. The DTV of the holding company is more than US$5M. Both Chemical and Shopping are very liquid at US$30M and US$14M, respectively. Also, both Chemical and Shopping carry single stock futures.</p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/399/original/4.png?1585515752" class="editor-image img-responsive" data-smartkarma-image-id="125399"></figure><hr><p>Where is the holding company relative to the two significant subsidiaries? They are now at -2σ on a 20D MA. The current price ratio is at a 120D low. </p><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/395/original/2.png?1585515375" class="editor-image img-responsive" data-smartkarma-image-id="125395"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/400/original/chart%20%281%29.png?1585516206" class="editor-image img-responsive" data-smartkarma-image-id="125400"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/401/original/3.png?1585516488" class="editor-image img-responsive" data-smartkarma-image-id="125401"></figure><figure class="editor-figure mceNonEditable"><img src="https://static-prod.smartkarma.com/images/media/000/125/402/original/chart.png?1585516522" class="editor-image img-responsive" data-smartkarma-image-id="125402"></figure>

Lotte Holdings is a pure holding company. It is currently at a 47.1% discount to its NAV.It's pretty much a two-sub synthetic stub. Lotte Chemical takes 63.5%, whereas Lotte Shopping features 36.5%.The liquidity situation isn't too bad. The DTV of the holding company is more than US$5M. Both Chemical and Shopping are very liquid at US$30M and US$14M, respectively. Also, both Chemical and Shopping carry single stock futures.Where is the holding company relative to the two significant subsidiaries? They are now at -2σ on a 20D MA. The current price ratio is at a 120D low. 

Lotte Now Gives the Opportunity of a Stub Trade

South Korea

Hotel Lotte Co., Ltd. operates hotels.  The Company offers accommodation, duty-free shop, restaurants, meeting and banquet halls, gym, and swimming pools.

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Hotel Lotte (900281 KS)

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Price Gauge

52-week Range

Market Cap (USDm)

P/E

Dividend (Yield)

Lotte Global Logistics IPO - Thoughts on Peer Comp and Valuation

Lotte Global Logistics aims to raise around US$140m in its Korea IPO via selling a mix of primary and secondary shares. In this note, we talk about...

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Lotte Holdings is a pure holding company. It is currently at a 47.1% discount to its NAV.It's pretty much a two-sub synthetic stub. Lotte Chemical...

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