Terrestrial Energy (IMSR) Operating Expenses (2024 - 2026)
Terrestrial Energy's Operating Expenses was $11.67 million in Q2 2026, up 125.8% from $5.17 million a year earlier.
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Analysis
Terrestrial Energy (IMSR) Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terrestrial Energy's Operating Expenses was $28.52 million through Jun 30, 2026, up 328.4% year-over-year; for FY2025, it came in at $25.2 million, up 137.7% from FY2024.
- In earlier years, Operating Expenses was $10.6 million in FY2024.
Peer Set
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 | Terrestrial Energy | 436.45 Mn | 436.45 Mn | - | 11.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.67 Mn |
| Dec 31, 2025 | 10.04 Mn |
| Sep 30, 2025 | 1.64 Mn |
| Jun 30, 2025 | 5.17 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Sep 30, 2024 | 278,494.00 |
| Jun 30, 2024 | 52,663.00 |
API Access
Terrestrial 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=IMSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IMSR", "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=IMSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();