Zeo Energy (ZEO) Accumulated Expenses (2023 - 2026)
Zeo Energy's Accumulated Expenses came in at $3.15 million for Q2 2026, down 23.5% from $4.12 million a year earlier but up 70.4% from the prior quarter.
Zeo Energy (ZEO) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Zeo Energy's Accumulated Expenses was $2.42 million, down 53.3% from FY2024.
- Going back by year, Accumulated Expenses was $5.18 million in FY2024 (+11.5%) and $4.65 million in FY2023.
- The five-year range for quarterly Accumulated Expenses is $1.85 million (Q1 2026) to $6.58 million (Q1 2025).
- Year-over-year, Accumulated Expenses has declined for four consecutive quarters, with an average decline of 11.3% over the last seven quarters.
- Business Quant data shows ZEO's Accumulated Expenses at $1.85 million (Q1 2026), $2.42 million (Q4 2025) and $2.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn |
| 10 | Zeo Energy | 22.05 Mn | 25.69 Mn | 7.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.15 Mn |
| Mar 31, 2026 | 1.85 Mn |
| Dec 31, 2025 | 2.42 Mn |
| Sep 30, 2025 | 2.84 Mn |
| Jun 30, 2025 | 4.12 Mn |
| Mar 31, 2025 | 6.58 Mn |
| Dec 31, 2024 | 5.18 Mn |
| Sep 30, 2024 | 3.56 Mn |
| Jun 30, 2024 | 3.76 Mn |
| Mar 31, 2024 | 3.90 Mn |
| Dec 31, 2023 | 4.65 Mn |
Zeo Energy Accumulated 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=accumulated-expenses&ticker=ZEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ZEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();