Fluence Energy (FLNC) EV to EBITDA (2024 - 2026)
Fluence Energy's (FLNC) EV to EBITDA came in at 92.66 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 824.5% from 10.02 a year earlier and up 269.8% from the prior quarter.
Fluence Energy (FLNC) EV to EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Fluence Energy was 50.80; for FY2025 (ended Sep 30, 2025), it was 21.74, down 36.5% from FY2024.
- In prior fiscal years, Fluence Energy's EV to EBITDA was 34.26 in FY2024.
- The fiscal Q3 2026 figure stands as the highest quarterly EV to EBITDA in data going back to fiscal Q3 2024.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 232.1% over the last five quarters.
- According to Business Quant data, EV to EBITDA for the three prior fiscal quarters was 25.06 (Q2 2026), 43.51 (Q1 2026) and 18.50 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 238.31 Bn | 198.23 Bn | 2.36 Bn |
| 2 | Bloom Energy | 64.18 Bn | 55.98 Bn | 355.57 Mn |
| 3 | First Solar | 18.77 Bn | 9.72 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.29 Bn | 10.59 Bn | 202.31 Mn |
| 5 | Nextpower | 11.96 Bn | 7.85 Bn | 335.85 Mn |
| 6 | Generac Holdings | 11.42 Bn | 10.25 Bn | 521.81 Mn |
| 7 | EnerSys | 6.23 Bn | 4.42 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.21 Bn | -646.87 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.73 Bn | 1.57 Bn | 133.10 Mn |
| 10 | Fluence Energy | 822.56 Mn | -1.05 Bn | 33.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.80 |
| Mar 31, 2026 | 23.84 |
| Dec 31, 2025 | 41.04 |
| Sep 30, 2025 | 17.53 |
| Jun 30, 2025 | 9.52 |
| Mar 31, 2025 | 4.97 |
| Dec 31, 2024 | 22.74 |
| Sep 30, 2024 | 31.77 |
| Jun 30, 2024 | 74.18 |
Fluence Energy EV to EBITDA 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=ev-to-ebitda&ticker=FLNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FLNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();