Fluence Energy (FLNC) Operating Expenses (2020 - 2026)
Fluence Energy (FLNC) recorded Operating Expenses of $61.48 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.2% from $61.61 million a year earlier but up 5.5% from the prior quarter.
Fluence Energy (FLNC) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Fluence Energy's Operating Expenses came in at $250.4 million as of Jun 30, 2026, up 2.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $260.59 million, up 6.5% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 54.1% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $244.79 million in FY2024 (+18.3%), $206.92 million in FY2023 (+15.4%), $179.25 million in FY2022 (+184.6%) and $62.99 million in FY2021 (+110.1%).
- Quarterly Operating Expenses has ranged from $20.1 million in fiscal Q4 2021 to $70.24 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 286.1% in fiscal Q1 2022, against a decline of 8.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $58.3 million (Q2 2026), $60.39 million (Q1 2026) and $70.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Fluence Energy | 1.38 Bn | -427.67 Mn | 33.24 Mn | 61.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.48 Mn |
| Mar 31, 2026 | 58.30 Mn |
| Dec 31, 2025 | 60.39 Mn |
| Sep 30, 2025 | 70.24 Mn |
| Jun 30, 2025 | 61.61 Mn |
| Mar 31, 2025 | 63.53 Mn |
| Dec 31, 2024 | 53.90 Mn |
| Sep 30, 2024 | 64.45 Mn |
| Jun 30, 2024 | 60.08 Mn |
| Mar 31, 2024 | 61.49 Mn |
| Dec 31, 2023 | 53.17 Mn |
| Sep 30, 2023 | 49.79 Mn |
| Jun 30, 2023 | 48.06 Mn |
| Mar 31, 2023 | 54.33 Mn |
| Dec 31, 2022 | 50.43 Mn |
| Sep 30, 2022 | 50.85 Mn |
| Jun 30, 2022 | 45.46 Mn |
| Mar 31, 2022 | 38.58 Mn |
| Dec 31, 2021 | 41.96 Mn |
| Sep 30, 2021 | 20.10 Mn |
Fluence 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=FLNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FLNC", "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=FLNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();