Bundesliga Financial X-Ray
Equity research methodology applied to football clubs — systematic balance sheet analysis, adjusted asset valuations and predictive risk scores
Soccer Economics bridges historical analysis with the intelligence world. We analyze Bundesliga balance sheets using the methodology equity research analysts apply to listed companies — except we correct the systematic distortions in football accounting.
The core thesis: Published club accounts contain systematic distortions. Stadiums are valued at book cost rather than earning power. Free-transfer players appear at book value zero despite being worth 150 million. Off-balance-sheet obligations like long-term leases and transfer installments are missing entirely. The Financial X-Ray corrects these distortions.
Nothing like this exists. Swiss Ramble is descriptive, Deloitte Money League is rankings. Nobody builds a predictive model from the balance sheets. We do.
Financial X-Ray — Pilot Analyses
Financial Stability Ranking — All 21 Clubs
| # | Club | Score | Class | Revenue | PC Ratio | Squad Value |
|---|---|---|---|---|---|---|
| 1 | FC Bayern Munich 1. Bundesliga |
88 | Antifragile | €900M | 53% | €920M |
| 2 | Bayer 04 Leverkusen 1. Bundesliga |
82 | Antifragile | €400M | 48% | €580M |
| 3 | RB Leipzig 1. Bundesliga |
78 | Antifragile | €370M | 45% | €480M |
| 4 | VfL Wolfsburg 1. Bundesliga |
75 | Robust | €220M | 50% | €200M |
| 5 | SC Freiburg 1. Bundesliga |
75 | Robust | €150M | 42% | €170M |
| 6 | TSG 1899 Hoffenheim 1. Bundesliga |
72 | Robust | €200M | 47% | €220M |
| 7 | Eintracht Frankfurt 1. Bundesliga |
68 | Robust | €280M | 50% | €320M |
| 8 | Borussia Dortmund 1. Bundesliga |
62 | Robust | €480M | 58% | €520M |
| 9 | VfB Stuttgart 1. Bundesliga |
62 | Robust | €220M | 50% | €300M |
| 10 | 1. FC Union Berlin 1. Bundesliga |
60 | Robust | €120M | 48% | €110M |
| 11 | Borussia Mönchengladbach 1. Bundesliga |
58 | Robust | €175M | 55% | €140M |
| 12 | FSV Mainz 05 1. Bundesliga |
55 | Robust | €120M | 50% | €130M |
| 13 | FC Augsburg 1. Bundesliga |
52 | Robust | €105M | 52% | €90M |
| 14 | FC St. Pauli 1. Bundesliga |
50 | Robust | €80M | 48% | €55M |
| 15 | SV Werder Bremen 1. Bundesliga |
48 | Fragile | €130M | 54% | €110M |
| 16 | SC Paderborn 07 2. Bundesliga |
38 | Fragile | €30M | 50% | €15M |
| 17 | Fortuna Düsseldorf 2. Bundesliga |
35 | Fragile | €55M | 52% | €25M |
| 18 | 1. FC Köln 2. Bundesliga |
32 | Fragile | €95M | 56% | €45M |
| 19 | Hamburger SV 2. Bundesliga |
30 | Fragile | €100M | 55% | €40M |
| 20 | FC Schalke 04 2. Bundesliga |
28 | Fragile | €85M | 52% | €35M |
| 21 | Hertha BSC 2. Bundesliga |
18 | Fragile | €75M | 62% | €30M |
5 Modules per Club
Club P&L
Revenue breakdown, EBITDA, net margin, 3-year trend with CAGR and benchmark against league average.
Adjusted Balance Sheet
Stadium earning value, squad NAV, phantom asset elimination, off-balance-sheet obligations.
DFL Compliance
Equity ratio, liquidity proof, debt service capacity. Distance to Default.
Transfer Firepower
Net transfer budget without DFL ratio violation. Directly usable for prediction markets.
Structural Risk Score
5 dimensions → Fragile / Robust / Antifragile classification.