Ellomay Capital (ELLO) Total Non-Current Liabilities (2009 - 2026)
Ellomay Capital (ELLO) recorded Total Non-Current Liabilities of $1.1 million in Q2 2026, up 448.3% from $201,000 a year earlier but down 99.9% from the prior quarter.
Ellomay Capital (ELLO) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ellomay Capital reported Total Non-Current Liabilities of $1.53 million, up 408.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -55.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $300,000 in FY2024 (-99.9%), $441.51 million in FY2023, $30.24 million in FY2022 (+164.4%) and $11.44 million in FY2021 (-87.1%).
- Quarterly Total Non-Current Liabilities has ranged from $27,000 in Q2 2024 to $840.69 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in four of the last seven quarters, with growth averaging 215.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 644.4% in Q2 2025, against a decline of 100.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $840.69 million (Q1 2026), $1.51 million (Q4 2025) and $1.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Vistra | 46.38 Bn | 39.58 Bn | - | 32.84 Bn |
| 2 | AXIA Energia | 29.36 Bn | 16.29 Bn | 2.59 Bn | 25.64 Bn |
| 3 | Nrg Energy | 20.40 Bn | 14.62 Bn | 2.01 Bn | 25.11 Bn |
| 4 | Talen Energy | 14.54 Bn | 12.12 Bn | - | 12.90 Bn |
| 5 | Enlight Renewable Energy | 9.08 Bn | 6.01 Bn | 117.49 Mn | 6.63 Bn |
| 6 | Brookfield Renewable Partners | 7.61 Bn | 28.99 Bn | 927.00 Mn | 47.47 Bn |
| 7 | Oklo | 6.87 Bn | 6.87 Bn | - | 59.33 Mn |
| 8 | Clearway Energy | 6.32 Bn | 8.88 Bn | - | 10.30 Bn |
| 9 | Ormat Technologies | 5.56 Bn | 4.30 Bn | 68.70 Mn | 3.91 Bn |
| 10 | Ellomay Capital | 302.91 Mn | -123.78 Mn | 3.55 Mn | 1.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.10 Mn |
| Mar 31, 2026 | 840.69 Mn |
| Dec 31, 2025 | 1.51 Mn |
| Sep 30, 2025 | 1.59 Mn |
| Jun 30, 2025 | 201,000.00 |
| Mar 31, 2025 | 146,000.00 |
| Dec 31, 2024 | 307,755.48 |
| Sep 30, 2024 | 382,000.00 |
| Jun 30, 2024 | 27,000.00 |
| Mar 31, 2024 | 575.97 Mn |
| Dec 31, 2023 | 429.40 Mn |
| Sep 30, 2023 | 4.67 Mn |
| Jun 30, 2023 | 611,000.00 |
| Mar 31, 2023 | 4.32 Mn |
| Dec 31, 2022 | 28.93 Mn |
| Sep 30, 2022 | 63.53 Mn |
| Jun 30, 2022 | 25.14 Mn |
| Mar 31, 2022 | 46.50 Mn |
| Dec 31, 2021 | 11.56 Mn |
| Sep 30, 2021 | 96.94 Mn |
Ellomay Capital Total Non-Current 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-non-current-liabilities&ticker=ELLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ELLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();