Zeo Energy (ZEO) Total Non-Current Liabilities (2021 - 2026)
Zeo Energy (ZEO) recorded Total Non-Current Liabilities of $45.97 million in Q2 2026, down 56.1% from $104.8 million a year earlier but up 8.7% from the prior quarter.
Zeo Energy (ZEO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Zeo Energy reported Total Non-Current Liabilities of $51.11 million, down 65.6% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of -35.3% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $148.44 million in FY2024 (+807.9%), $16.35 million in FY2023 (-93.6%), $254.08 million in FY2022 (-12.9%) and $291.79 million in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from -$3.54 million in Q2 2023 to $294.19 million in Q3 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 79.1% over the last seven quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 807.9% in Q4 2024, against a decline of 93.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $42.28 million (Q1 2026), $51.11 million (Q4 2025) and $59.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 90.54 Bn | 88.62 Bn | 1.55 Bn | 17.11 Bn |
| 2 | Ferrovial | 36.11 Bn | 14.36 Bn | - | 15.61 Bn |
| 3 | Emcor | 30.66 Bn | 27.05 Bn | 1.02 Bn | 5.66 Bn |
| 4 | Jacobs Solutions | 16.65 Bn | 11.31 Bn | 810.70 Mn | 4.54 Bn |
| 5 | Mastec | 14.16 Bn | 12.95 Bn | 556.28 Mn | 6.93 Bn |
| 6 | Sterling Infrastructure | 12.71 Bn | 11.04 Bn | 289.96 Mn | 1.73 Bn |
| 7 | IES Holdings | 9.33 Bn | 8.19 Bn | 340.66 Mn | 1.02 Bn |
| 8 | Stantec | 7.97 Bn | 6.90 Bn | 1.36 Bn | 3.35 Bn |
| 9 | Aecom | 7.67 Bn | 2.79 Bn | -34.04 Mn | 9.33 Bn |
| 10 | Zeo Energy | 9.78 Mn | -4.51 Mn | 7.62 Mn | 45.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.44 Mn |
| Mar 31, 2026 | 42.28 Mn |
| Dec 31, 2025 | 51.11 Mn |
| Sep 30, 2025 | 59.46 Mn |
| Jun 30, 2025 | 104.80 Mn |
| Mar 31, 2025 | 69.74 Mn |
| Dec 31, 2024 | 148.44 Mn |
| Sep 30, 2024 | 84.74 Mn |
| Jun 30, 2024 | 97.95 Mn |
| Mar 31, 2024 | 219.98 Mn |
| Dec 31, 2023 | 16.35 Mn |
| Sep 30, 2023 | -2.77 Mn |
| Jun 30, 2023 | -3.54 Mn |
| Mar 31, 2023 | -3.39 Mn |
| Dec 31, 2022 | 254.08 Mn |
| Sep 30, 2022 | 294.19 Mn |
| Jun 30, 2022 | 292.82 Mn |
| Mar 31, 2022 | 292.34 Mn |
| Dec 31, 2021 | 291.79 Mn |
Zeo Energy 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=ZEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ZEO", "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=ZEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();