Cleanspark (CLSK) Total Non-Current Liabilities (2018 - 2026)
Cleanspark (CLSK) reported Total Non-Current Liabilities of $1.94 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 103.5% from $951.51 million a year earlier and up 0.6% from the prior quarter.
Cleanspark (CLSK) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cleanspark posted Total Non-Current Liabilities of $1.01 billion.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 187.0% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $546,000 in FY2024, $48.61 million in FY2022 (+344.5%) and $10.94 million in FY2021 (+111.8%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $546,000 in fiscal Q4 2024 and a high of $1.94 billion in fiscal Q1 2026.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 103.5% (fiscal Q3 2026) to 344.5% (fiscal Q4 2022).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $1.92 billion (Q2 2026), $1.94 billion (Q1 2026) and $1.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Block | 51.56 Bn | 23.34 Bn | 3.24 Bn | 17.99 Bn |
| 2 | PayPal Holdings | 50.29 Bn | 8.99 Bn | - | 58.83 Bn |
| 3 | Coinbase Global | 35.53 Bn | -4.11 Bn | - | 13.22 Bn |
| 4 | Fiserv | 33.43 Bn | 30.64 Bn | 2.76 Bn | 50.29 Bn |
| 5 | Corpay | 29.86 Bn | 18.68 Bn | - | 7.41 Bn |
| 6 | Global Payments | 25.78 Bn | 604.58 Mn | 2.01 Bn | 37.62 Bn |
| 7 | Guidewire Software | 13.57 Bn | 10.14 Bn | 269.68 Mn | 1.37 Bn |
| 8 | Jack Henry & Associates | 12.44 Bn | 12.35 Bn | 273.85 Mn | 537.52 Mn |
| 9 | Chime Financial | 11.95 Bn | 7.64 Bn | 646.07 Mn | 633.05 Mn |
| 10 | Cleanspark | 1.65 Bn | 674.58 Mn | - | 1.94 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.94 Bn |
| Mar 31, 2026 | 1.92 Bn |
| Dec 31, 2025 | 1.94 Bn |
| Sep 30, 2025 | 1.01 Bn |
| Jun 30, 2025 | 951.51 Mn |
| Mar 31, 2025 | 762.99 Mn |
| Dec 31, 2024 | 753.09 Mn |
| Sep 30, 2024 | 546,000.00 |
| Mar 31, 2023 | 55.67 Mn |
| Dec 31, 2022 | 54.91 Mn |
| Sep 30, 2022 | 48.61 Mn |
| Jun 30, 2022 | 34.19 Mn |
| Mar 31, 2022 | 23.88 Mn |
| Dec 31, 2021 | 23.45 Mn |
| Sep 30, 2021 | 10.94 Mn |
| Jun 30, 2021 | 12.44 Mn |
| Mar 31, 2021 | 5.64 Mn |
| Dec 31, 2020 | 5.39 Mn |
| Sep 30, 2020 | 5.16 Mn |
| Jun 30, 2018 | 1.39 Mn |
Cleanspark Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CLSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CLSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();