Eos Energy Enterprises (EOSE) Accumulated Expenses (2020 - 2026)
Eos Energy Enterprises (EOSE) recorded Accumulated Expenses of $42.47 million in Q2 2026, up 79.6% from $23.65 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Eos Energy Enterprises (EOSE) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Eos Energy Enterprises reported Accumulated Expenses of $25.79 million, up 17.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 38.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $22.03 million in FY2024 (-31.9%), $32.33 million in FY2023 (+110.5%), $15.36 million in FY2022 (+100.1%) and $7.67 million in FY2021 (+50.7%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q2 2020.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 110.5% in Q4 2023, against a decline of 43.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $39.2 million (Q1 2026), $25.79 million (Q4 2025) and $31.39 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 235.09 Bn | 186.19 Bn | 3.11 Bn |
| 2 | Bloom Energy | 60.38 Bn | 50.28 Bn | 417.10 Mn |
| 3 | First Solar | 19.77 Bn | 11.14 Bn | 713.06 Mn |
| 4 | Nextpower | 13.86 Bn | 13.86 Bn | 345.32 Mn |
| 5 | BWX Technologies | 12.15 Bn | 10.45 Bn | 202.31 Mn |
| 6 | Generac Holdings | 12.12 Bn | 12.12 Bn | 516.04 Mn |
| 7 | EnerSys | 5.93 Bn | 4.12 Bn | 313.36 Mn |
| 8 | Mirion Technologies | 4.63 Bn | 2.99 Bn | 131.50 Mn |
| 9 | Enphase Energy | 3.76 Bn | -548.69 Mn | 127.12 Mn |
| 10 | Eos Energy Enterprises | 625.23 Mn | -717.65 Mn | -48.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.47 Mn |
| Mar 31, 2026 | 39.20 Mn |
| Dec 31, 2025 | 25.79 Mn |
| Sep 30, 2025 | 36.94 Mn |
| Jun 30, 2025 | 23.65 Mn |
| Mar 31, 2025 | 21.66 Mn |
| Dec 31, 2024 | 22.03 Mn |
| Sep 30, 2024 | 37.77 Mn |
| Jun 30, 2024 | 34.75 Mn |
| Mar 31, 2024 | 42.30 Mn |
| Dec 31, 2023 | 32.33 Mn |
| Sep 30, 2023 | 25.07 Mn |
| Jun 30, 2023 | 20.89 Mn |
| Mar 31, 2023 | 20.35 Mn |
| Dec 31, 2022 | 15.36 Mn |
| Sep 30, 2022 | 15.97 Mn |
| Jun 30, 2022 | 14.69 Mn |
| Mar 31, 2022 | 12.80 Mn |
| Dec 31, 2021 | 7.67 Mn |
| Dec 31, 2020 | 5.09 Mn |
API Access
Eos Energy Enterprises 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=EOSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EOSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();