Ellomay Capital (ELLO) Total Liabilities (2009 - 2026)
Ellomay Capital's Total Liabilities came in at $844.89 million for Q2 2026, up 23.5% from $683.94 million a year earlier but down 0.7% from the prior quarter.
Ellomay Capital (ELLO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ellomay Capital's Total Liabilities was $766.44 million, up 29.2% from FY2024.
- Total Liabilities has increased in each of the last 13 years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $593.09 million in FY2024 (+8.3%), $547.62 million in FY2023 (+4.8%), $522.58 million in FY2022 (+5.5%) and $495.35 million in FY2021 (+19.5%).
- The five-year range for quarterly Total Liabilities is $442.91 million (Q3 2021) to $850.6 million (Q1 2026).
- Year-over-year, Total Liabilities has increased for 11 consecutive quarters, with growth averaging 21.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2022 (growth of 42.0%), and the weakest in Q1 2023 (a decline of 12.7%).
- Business Quant data shows ELLO's Total Liabilities at $850.6 million (Q1 2026), $789.66 million (Q4 2025) and $692.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Vistra | 46.38 Bn | 39.58 Bn | - | 37.11 Bn |
| 2 | AXIA Energia | 29.36 Bn | 16.29 Bn | 2.59 Bn | 30.62 Bn |
| 3 | Nrg Energy | 20.40 Bn | 14.62 Bn | 2.01 Bn | 35.09 Bn |
| 4 | Talen Energy | 14.54 Bn | 12.12 Bn | - | 13.43 Bn |
| 5 | Enlight Renewable Energy | 9.08 Bn | 6.01 Bn | 117.49 Mn | 8.02 Bn |
| 6 | Brookfield Renewable Partners | 7.61 Bn | 28.99 Bn | 927.00 Mn | 100.48 Bn |
| 7 | Oklo | 6.87 Bn | 6.87 Bn | - | 84.33 Mn |
| 8 | Clearway Energy | 6.32 Bn | 8.88 Bn | - | 11.30 Bn |
| 9 | Ormat Technologies | 5.56 Bn | 4.30 Bn | 68.70 Mn | 4.05 Bn |
| 10 | Ellomay Capital | 302.91 Mn | -123.78 Mn | 3.55 Mn | 844.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 844.89 Mn |
| Mar 31, 2026 | 850.60 Mn |
| Dec 31, 2025 | 789.66 Mn |
| Sep 30, 2025 | 692.98 Mn |
| Jun 30, 2025 | 683.94 Mn |
| Mar 31, 2025 | 638.30 Mn |
| Dec 31, 2024 | 585.56 Mn |
| Sep 30, 2024 | 569.63 Mn |
| Jun 30, 2024 | 542.56 Mn |
| Mar 31, 2024 | 580.72 Mn |
| Dec 31, 2023 | 524.79 Mn |
| Sep 30, 2023 | 516.30 Mn |
| Jun 30, 2023 | 527.58 Mn |
| Mar 31, 2023 | 549.71 Mn |
| Dec 31, 2022 | 503.06 Mn |
| Sep 30, 2022 | 534.06 Mn |
| Jun 30, 2022 | 510.81 Mn |
| Mar 31, 2022 | 629.94 Mn |
| Dec 31, 2021 | 500.91 Mn |
| Sep 30, 2021 | 442.91 Mn |
Ellomay Capital Total Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-liabilities&ticker=ELLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ELLO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=ELLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();