Ballard Power Systems (BLDP) Enterprise Value (2009 - 2026)
Ballard Power Systems' Enterprise Value was $664.9 million in the quarter ended Jun 30, 2026, compared with -$75.39 million a year earlier and up 221.2% from the prior quarter.
Ballard Power Systems (BLDP) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ballard Power Systems' Enterprise Value was -$915.09 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $232.74 million.
- Enterprise Value shows a five-year compound annual growth rate of -47.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Enterprise Value was -$108.98 million in the year ended Dec 31, 2024, $352.82 million in the year ended Dec 31, 2023 (-31.3%), $513.57 million in the year ended Dec 31, 2022 (-80.3%) and $2.61 billion in the year ended Dec 31, 2021 (-55.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Enterprise Value since the quarter ended Mar 31, 2023.
- Across the past five years, year-over-year decline in Enterprise Value ran from 11.9% in the quarter ended Sep 30, 2021 to 86.4% in the quarter ended Mar 31, 2024.
- Per Business Quant data, BLDP's Enterprise Value in the three quarters before the quarter ended Jun 30, 2026 was $207.01 million (quarter ended Mar 31, 2026), $232.74 million (quarter ended Dec 31, 2025) and $289.54 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 249.42 Bn | 209.34 Bn | 2.36 Bn |
| 2 | Bloom Energy | 69.00 Bn | 60.79 Bn | 355.57 Mn |
| 3 | First Solar | 18.65 Bn | 9.60 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.44 Bn | 10.74 Bn | 202.31 Mn |
| 5 | Nextpower | 12.36 Bn | 8.26 Bn | 335.85 Mn |
| 6 | Generac Holdings | 11.98 Bn | 10.81 Bn | 521.81 Mn |
| 7 | EnerSys | 6.42 Bn | 4.61 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.23 Bn | -633.01 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.77 Bn | 1.61 Bn | 133.10 Mn |
| 10 | Ballard Power Systems | 460.74 Mn | -1.62 Bn | 4.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 664.90 Mn |
| Mar 31, 2026 | 207.04 Mn |
| Dec 31, 2025 | 232.74 Mn |
| Sep 30, 2025 | 289.54 Mn |
| Jun 30, 2025 | -75.39 Mn |
| Mar 31, 2025 | -249.33 Mn |
| Dec 31, 2024 | -108.98 Mn |
| Sep 30, 2024 | -98.28 Mn |
| Jun 30, 2024 | -6.51 Mn |
| Mar 31, 2024 | 108.47 Mn |
| Dec 31, 2023 | 352.82 Mn |
| Sep 30, 2023 | 313.25 Mn |
| Jun 30, 2023 | 485.17 Mn |
| Mar 31, 2023 | 796.47 Mn |
| Dec 31, 2022 | 513.57 Mn |
| Sep 30, 2022 | 867.44 Mn |
| Jun 30, 2022 | 873.75 Mn |
| Mar 31, 2022 | 2.40 Bn |
| Dec 31, 2021 | 2.61 Bn |
| Sep 30, 2021 | 2.96 Bn |
Ballard Power Systems Enterprise Value 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=enterprise-value&ticker=BLDP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "BLDP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=BLDP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();