
- •Investment Case 11
- •Valuation summary 37
- •Investment case 53
- •Investment Case
- •Companies Compared Stock data
- •Key metrics
- •Per ha comparison
- •Management credibility
- •Market Overview Summary
- •Ukraine in global context Ukraine produces 2-3% of world soft commodities
- •Sunflower oil, corn, wheat, barley and rapeseed are Ukraine’s key soft commodities to export
- •Ukraine is 8th in arable land globally
- •Key inputs used in crop farming Ukraine`s climate favorable for low-cost agriculture
- •Soil fertility map
- •Machinery use far below developed countries
- •Land trade moratorium makes more benefits
- •Fertilizer use
- •Inputs prices: lease cost is Ukraine’s key cost advantage
- •Case study: Production costs in Ukraine vs. Brazil for corn and soybean
- •Farming Efficiency Ukrainian crop yields lag the eu and us, on par with Argentina and Brazil, above Russia’s
- •5Y average yields, t/ha and their respective 10y cagRs
- •Yields at a premium in Ukraine on the company level
- •Growth Growth should come from yield improvement, crop structure reshuffle and acreage increase
- •Crop structure is gradually shifting to more profitable cultures
- •Combined crop structure of listed companies
- •Ukraine`s 2012 harvest outlook
- •Valuation
- •Valuation summary
- •Valuation summary
- •Asset-based approach
- •Asset-based valuation
- •Valuation premium/discount summary
- •Location matters: Value of land by region
- •Yields efficiency comparing to benchmark region
- •Cost efficiency
- •Adding supplementary businesses
- •Valuation summary for other assets
- •Cost of equity assumptions
- •Model assumptions
- •Landbank growth capped at 30%
- •Crop structure
- •Biological revaluation (ias 41) excluded
- •Land ownership
- •Company Profiles Agroton a high cost producer
- •Investment case
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement*, usd mln
- •Agroton in six charts
- •Operati
- •Industrial Milk Company Corn story
- •Investment case
- •A focus on the corn explains high margins
- •Location favourable for corn
- •Well on track with ipo proceeds
- •Weak ebitda margin in 2012 explained by non-cash items
- •Valuation
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement*, usd mln
- •Ksg Agro On the road to space/Not ready to be public
- •Investment Case
- •A 5x yoy boost in total assets looks strange to us
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement*, usd mln
- •Ksg Agro in six charts
- •Mcb Agricole Acquisition target with lack of positives for minorities
- •Investment Case
- •Inventories balance, usd mln
- •Overview of acquisitions of public farming companies in Ukraine
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement, usd mln
- •Mcb Agricole in six charts
- •Mriya Too sweet to be true
- •Investment Case
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement*, usd mln
- •Mriya in six charts
- •Sintal Agriculture
- •Investment Case
- •25% Yoy cost reduction in 2011 should improve margins
- •Irrigation is a growth option
- •Inventory balance, usd mln
- •Valuation
- •Valuation
- •Operating assumptions
- •Financials
- •Income statement*, usd mln
- •Sintal Agriculture in six charts
- •Astarta Sugar maker
- •Kernel Grain trader actively integrating upstream
- •Poultry producer
- •Appendices Land value
- •Current landowner income capitalization model
- •Farmer income capitalization model
- •Normative value
- •Biological asset revaluation
- •How do we adjust the income statement to be on a cost basis?
- •Ias 41 application summary
- •Appendix: Crop production schedule Crop schedule, based on 2012 harvesting year
- •Investment ratings
- •Contacts
Cost efficiency
To compensate for the obvious fact that higher yields could be achieved simply by higher costs applied to the land (as we find in the case of Agroton and MHP), we also compare companies` costs per ha vs. the Ukrainian average, taken from State Statistics Committee of Ukraine for 2010, and average among listed companies for 2011.
As companies do not report costs for all cultures, we focus on key crops for companies, weighting them according to their importance. For companies whose costs exceed the average, we apply discounts of up to 20%, for those below – premiums of up to 20%.
Premium/discount due to cost efficiency |
|
Source: Concorde Capital estimates |
Costs, USD/ha Corn |
|
Wheat |
|
|
|
Sunflower |
|
Sugar beets |
|
|
|
Source: Company data |
Adding supplementary businesses
To arrive at the fair value for listed Ukrainian companies, we add the value of supplementary and non-core businesses. For most companies, this is a grain storage business, which we value at:
USD 100/kt for silos built during Soviet times
USD 200/kt (or construction costs) for new silos
USD 50/kt for granaries
USD 200/kt for potato storage
For companies involved in livestock and food processing, we value those businesses based on an EV/EBITDA multiple of 6.0x, the average for Ukrainian consumer goods companies.
Valuation summary for other assets
|
Business overview |
Capacity, kt |
Est. EBITDA 2012, USD mln |
Multiple |
Est. value, USD mln |
|
|
|
|
|
|
Agroton |
Owned grain silos |
105 |
x |
USD 100/t |
11 |
|
Leased grain silos |
180 |
x |
USD 50/t |
9 |
|
Food processing |
|
0 |
6x |
0 |
|
Livestock |
|
1.6 |
6x |
10 |
|
Total |
|
|
|
29 |
Industrial Milk Company |
Grain silos |
257 |
x |
USD 100/t |
26 |
|
Grain granaries |
46 |
x |
USD 50/t |
2 |
|
Potato storage |
13 |
x |
USD 200/t |
3 |
|
Livestock |
|
4 |
6x |
24 |
|
Total |
|
|
|
55 |
KSG Agro |
Food processing |
|
0 |
6x |
0 |
|
Pork production |
|
1 |
6x |
6 |
|
Pellets production (60-90 kt capacity) |
|
2 |
6x |
12 |
|
Grain granaries |
16 |
|
USD 50/t |
1 |
|
Total |
|
|
|
19 |
MCB Agricole |
n/a |
|
|
|
0 |
Mriya |
Greenfield grain silos |
160 |
x |
USD 200/t |
32 |
|
Granaries |
250 |
x |
USD 50/t |
13 |
|
Greenfield seed silo |
60 |
x |
USD 600/t |
36 |
|
Potato storages |
56 |
x |
USD 200/t |
11 |
|
Total |
|
|
|
92 |
Sintal |
Owned grain silo |
100 |
x |
USD 100/t |
10 |
|
Total |
|
|
|
10 |
Source: Company data, Concorde Capital calculations
Summing up landbank value derived from company-specific target EV/ha with our estimates for the value of complementary and non-core assets, we arrive at sum-of-the parts implied values.
Asset-based valuation summary
|
Target EV/ha, USD |
Landbank, ths ha |
EV, landbank, USD mln |
EV, other assets, USD mln |
EV, asset-based, USD mln |
Agroton |
1,098 |
171 |
188 |
29 |
217 |
Industrial Milk Company |
2,215 |
83 |
183 |
55 |
238 |
KSG Agro |
1,830 |
59 |
109 |
19 |
127 |
MCB Agricole |
1,613 |
90 |
145 |
0 |
145 |
Mriya |
2,118 |
295 |
625 |
92 |
717 |
Sintal |
989 |
145 |
143 |
10 |
153 |
Source: Concorde Capital
DCF
We apply a 50% weight to DCF valuation to determine our target prices for most of the companies covered in this report (MCB Agricole and Agroton targets are fully based on DCF). Company-specific DCF outputs are given in the company profiles section of this report.
DCF valuation summary
Company name |
Implied EV
|
Implied equity value |
Implied share price
|
Current price |
|
|
USD mln |
USD mln |
USD |
listing currency |
listing currency |
Agroton |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
Industrial Milk Company |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
KSG Agro |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
MCB Agricole |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
Mriya |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
Sintal Agriculture |
xx.x |
xx.x |
xx.x |
xx.x |
xx.x |
Source: Concorde Capital