Zeo Energy (ZEO) Operating Expenses (2022 - 2026)
Zeo Energy (ZEO) posted Operating Expenses of $19.16 million for Q2 2026, down 8.6% from $20.96 million a year earlier but up 6.7% from the prior quarter.
Zeo Energy (ZEO) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Zeo Energy was $83.74 million, down 2.2% year-over-year; for FY2025, it came in at $89.88 million, up 6.9% from FY2024.
- Annual Operating Expenses shows a four-year compound annual growth rate of 247.1% (FY2021 to FY2025).
- In prior years, Zeo Energy's Operating Expenses was $84.05 million in FY2024 (-19.6%), $104.55 million in FY2023 and $618,884 in FY2021.
- Quarterly Operating Expenses has run from a low of $371,743 in Q2 2022 to a high of $33.89 million in Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 6.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 41.4%; the weakest was Q2 2024, with a decline of 40.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $17.95 million (Q1 2026), $20.75 million (Q4 2025) and $25.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Zeo Energy | 9.71 Mn | -4.58 Mn | 7.62 Mn | 19.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.16 Mn |
| Mar 31, 2026 | 17.95 Mn |
| Dec 31, 2025 | 20.75 Mn |
| Sep 30, 2025 | 25.88 Mn |
| Jun 30, 2025 | 20.96 Mn |
| Mar 31, 2025 | 22.30 Mn |
| Dec 31, 2024 | 19.76 Mn |
| Sep 30, 2024 | 22.64 Mn |
| Jun 30, 2024 | 17.46 Mn |
| Mar 31, 2024 | 24.19 Mn |
| Dec 31, 2023 | 24.34 Mn |
| Sep 30, 2023 | 33.89 Mn |
| Jun 30, 2023 | 29.21 Mn |
| Mar 31, 2023 | 17.10 Mn |
| Jun 30, 2022 | 371,743.00 |
| Mar 31, 2022 | 842,990.00 |
Zeo Energy Operating Expenses 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=operating-expenses&ticker=ZEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ZEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();