Cleanspark (CLSK) Accumulated Expenses (2023 - 2026)
Cleanspark's Accumulated Expenses came in at $131.34 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 103.7% from $64.49 million a year earlier and up 29.4% from the prior quarter.
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Analysis
Cleanspark (CLSK) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cleanspark's Accumulated Expenses was $117.54 million, up 167.9% from FY2024.
- Going back by fiscal year, Accumulated Expenses was $43.87 million in FY2024 (+70.9%) and $25.68 million in FY2023.
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2023.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 163.6% over the last six quarters.
- Business Quant data shows CLSK's Accumulated Expenses at $101.53 million (Q2 2026), $103.69 million (Q1 2026) and $117.54 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn |
| 10 | Cleanspark | 1.65 Bn | 674.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.34 Mn |
| Mar 31, 2026 | 101.53 Mn |
| Dec 31, 2025 | 103.69 Mn |
| Sep 30, 2025 | 117.54 Mn |
| Jun 30, 2025 | 64.49 Mn |
| Mar 31, 2025 | 87.91 Mn |
| Dec 31, 2024 | 51.01 Mn |
| Sep 30, 2024 | 43.87 Mn |
| Jun 30, 2024 | 10.39 Mn |
| Sep 30, 2023 | 25.68 Mn |
API Access
Cleanspark Accumulated 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=accumulated-expenses&ticker=CLSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CLSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();