Oklo (OKLO) Operating Expenses (2021 - 2026)
Oklo (OKLO) reported Operating Expenses of $74.4 million for Q2 2026, up 165.6% from $28.02 million a year earlier and up 45.2% from the prior quarter.
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Analysis
Oklo (OKLO) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Oklo's Operating Expenses came in at $219.05 million, up 197.8% year-over-year; for FY2025, it was $139.29 million, up 163.8% from FY2024.
- Operating Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 229.6% (FY2021 to FY2025).
- By year, Operating Expenses came in at $52.8 million in FY2024 (+183.3%), $18.64 million in FY2023 (+929.9%), $1.81 million in FY2022 (+53.4%) and $1.18 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2021.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 161.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2023 (growth of 678.4%); the low point was Q3 2022 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.25 million (Q1 2026), $57.1 million (Q4 2025) and $36.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Vistra | 46.48 Bn | 39.68 Bn | - | 392.00 Mn |
| 2 | AXIA Energia | 30.09 Bn | 17.03 Bn | 2.59 Bn | -681.17 Mn |
| 3 | Nrg Energy | 20.12 Bn | 14.34 Bn | 2.01 Bn | 6.54 Bn |
| 4 | Talen Energy | 14.98 Bn | 12.56 Bn | - | 186.00 Mn |
| 5 | Enlight Renewable Energy | 9.17 Bn | 6.10 Bn | 117.49 Mn | -118.69 Mn |
| 6 | Brookfield Renewable Partners | 7.57 Bn | 28.94 Bn | 927.00 Mn | 783.00 Mn |
| 7 | Oklo | 6.85 Bn | 6.85 Bn | - | 74.40 Mn |
| 8 | Clearway Energy | 6.33 Bn | 8.89 Bn | - | 365.00 Mn |
| 9 | Ormat Technologies | 5.63 Bn | 4.37 Bn | 68.70 Mn | 22.61 Mn |
| 10 | ReNew Energy Global | 4.99 Bn | 3.86 Bn | - | 418.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.40 Mn |
| Mar 31, 2026 | 51.25 Mn |
| Dec 31, 2025 | 57.10 Mn |
| Sep 30, 2025 | 36.31 Mn |
| Jun 30, 2025 | 28.02 Mn |
| Mar 31, 2025 | 17.87 Mn |
| Dec 31, 2024 | 15.38 Mn |
| Sep 30, 2024 | 12.28 Mn |
| Jun 30, 2024 | 17.77 Mn |
| Mar 31, 2024 | 7.37 Mn |
| Dec 31, 2023 | 7.28 Mn |
| Sep 30, 2023 | 4.66 Mn |
| Jun 30, 2023 | 3.35 Mn |
| Mar 31, 2023 | 1.16 Mn |
| Dec 31, 2022 | 447,009.00 |
| Sep 30, 2022 | 402,616.00 |
| Jun 30, 2022 | 430,744.00 |
| Mar 31, 2022 | 529,115.00 |
| Dec 31, 2021 | 609,735.00 |
| Sep 30, 2021 | 569,025.00 |
API Access
Oklo 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=OKLO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OKLO", "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=OKLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();