Eos Energy Enterprises (EOSE) Change in Accured Expenses (2020 - 2026)
Eos Energy Enterprises (EOSE) reported Change in Accured Expenses of $237,000 for Q2 2026, compared with -$4.6 million a year earlier and down 96.7% from the prior quarter.
Eos Energy Enterprises (EOSE) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eos Energy Enterprises' Change in Accured Expenses came in at $11.99 million; for FY2025, it was $3.27 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$14.69 million in FY2024, $19.35 million in FY2023 (+281.0%), $5.08 million in FY2022 (+96.8%) and $2.58 million in FY2021 (-17.1%).
- Five-year quarterly Change in Accured Expenses spans a low of -$17.78 million in Q4 2024 and a high of $10.41 million in Q3 2025.
- Year over year, Change in Accured Expenses gained in two of the last four quarters, with growth averaging 36.9%.
- The high point for year-over-year Change in Accured Expenses in five years was Q1 2026 (growth of 117.0%); the low point was Q2 2023 (a decline of 89.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.21 million (Q1 2026), -$5.87 million (Q4 2025) and $10.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 263.36 Bn | 224.44 Bn | 2.36 Bn | 476.00 Mn |
| 2 | Bloom Energy | 84.85 Bn | 76.67 Bn | 355.57 Mn | - |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn | 45.29 Mn |
| 4 | Generac Holdings | 12.79 Bn | 11.62 Bn | 521.81 Mn | -97.29 Mn |
| 5 | Nextpower | 12.78 Bn | 8.68 Bn | 335.85 Mn | - |
| 6 | BWX Technologies | 12.36 Bn | 10.66 Bn | 202.31 Mn | -12.60 Mn |
| 7 | EnerSys | 7.13 Bn | 5.32 Bn | 313.36 Mn | -37.98 Mn |
| 8 | Enphase Energy | 4.42 Bn | -436.70 Mn | 175.01 Mn | 2.48 Mn |
| 9 | Mirion Technologies | 3.57 Bn | 1.46 Bn | 133.10 Mn | -2.30 Mn |
| 10 | Eos Energy Enterprises | 1.09 Bn | -249.58 Mn | -48.80 Mn | 237,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237,000.00 |
| Mar 31, 2026 | 7.21 Mn |
| Dec 31, 2025 | -5.87 Mn |
| Sep 30, 2025 | 10.41 Mn |
| Jun 30, 2025 | -4.60 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | -17.78 Mn |
| Sep 30, 2024 | 5.07 Mn |
| Jun 30, 2024 | -8.14 Mn |
| Mar 31, 2024 | 6.16 Mn |
| Dec 31, 2023 | 7.09 Mn |
| Sep 30, 2023 | 7.07 Mn |
| Jun 30, 2023 | 193,000.00 |
| Mar 31, 2023 | 4.99 Mn |
| Dec 31, 2022 | -870,000.00 |
| Sep 30, 2022 | -1.07 Mn |
| Jun 30, 2022 | 1.89 Mn |
| Mar 31, 2022 | 5.13 Mn |
| Dec 31, 2021 | 666,000.00 |
| Sep 30, 2021 | 375,000.00 |
Eos Energy Enterprises Change in Accured 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=change-in-accured-expenses&ticker=EOSE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "EOSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=EOSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();