Cleanspark (CLSK) Operating Expenses (2010 - 2026)
Cleanspark's Operating Expenses came in at $370.41 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$47.52 million a year earlier and down 23.2% from the prior quarter.
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Analysis
Cleanspark (CLSK) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cleanspark reported Operating Expenses of $1.57 billion, up 314.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $447.37 million, down 15.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 77.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $528.01 million in FY2024 (+76.3%), $299.45 million in FY2023 (+76.8%), $169.39 million in FY2022 (+230.9%) and $51.19 million in FY2021 (+103.3%).
- The five-year range for quarterly Operating Expenses is -$47.67 million (fiscal Q1 2025) to $497.73 million (fiscal Q1 2026).
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2024 (growth of 478.0%), and the weakest in fiscal Q1 2024 (a decline of 20.2%).
- Business Quant data shows CLSK's Operating Expenses at $482.09 million (Q2 2026), $497.73 million (Q1 2026) and $222.82 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.49 Bn | 7.72 Bn | - | 7.26 Bn |
| 2 | Block | 46.34 Bn | 17.64 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 44.39 Bn | 1.20 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.40 Bn | 16.28 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.40 Bn | 22.08 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 22.86 Bn | 652.84 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 14.45 Bn | 11.02 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 11.93 Bn | 9.31 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.25 Bn | 7.04 Bn | 594.87 Mn | 573.55 Mn |
| 10 | Cleanspark | 2.27 Bn | 1.29 Bn | - | 370.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 370.41 Mn |
| Mar 31, 2026 | 482.09 Mn |
| Dec 31, 2025 | 497.73 Mn |
| Sep 30, 2025 | 222.82 Mn |
| Jun 30, 2025 | -47.52 Mn |
| Mar 31, 2025 | 319.74 Mn |
| Dec 31, 2024 | -47.67 Mn |
| Sep 30, 2024 | 154.87 Mn |
| Jun 30, 2024 | 353.19 Mn |
| Mar 31, 2024 | -25.32 Mn |
| Dec 31, 2023 | 45.28 Mn |
| Sep 30, 2023 | 121.61 Mn |
| Jun 30, 2023 | 61.11 Mn |
| Mar 31, 2023 | 60.03 Mn |
| Dec 31, 2022 | 56.70 Mn |
| Sep 30, 2022 | 66.83 Mn |
| Jun 30, 2022 | 46.35 Mn |
| Mar 31, 2022 | 34.40 Mn |
| Dec 31, 2021 | 21.81 Mn |
| Sep 30, 2021 | 18.23 Mn |
API Access
Cleanspark 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=CLSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLSK", "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=CLSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();