CleanSpark, Inc.: net property, plant and equipment
CleanSpark net property, plant and equipment: $1.36 billion at 2025-09-30, up 56.8% on the year. 12 values since 2014 from SEC filings. In original units.
All CleanSpark, Inc. financial histories
At a glance
CleanSpark reported net property, plant and equipment of $1.36 billion at 2025-09-30, up 56.8% from $869.7 million a year earlier. From 2014 to 2025 it grew at a compound 102.5% a year, from $581.0 thousand to $1.36 billion. Across the last five reported years it ranged from $137.6 million (2021-09-30) to $1.36 billion (2025-09-30). That was 42.8% of total assets ($3.18 billion) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.
Exact concept: us-gaap:PropertyPlantAndEquipmentNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2014-09-30 to 2025-09-30. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-09-30 | 1,363,681,000 | USD | 2025-11-25 | 10-K · 0001193125-25-297510 SEC |
| - | 2024-09-30 | 869,693,000 | USD | 2025-11-25 | 10-K · 0001193125-25-297510 SEC |
| - | 2023-09-30 | 564,395,000 | USD | 2024-12-03 | 10-K · 0000950170-24-132565 SEC |
| - | 2022-09-30 | 376,781,000 | USD | 2023-12-01 | 10-K · 0000950170-23-067339 SEC |
| - | 2021-09-30 | 137,621,546 | USD | 2022-12-15 | 10-K · 0000950170-22-026564 SEC |
| - | 2020-09-30 | 117,994 | USD | 2021-12-14 | 10-K · 0001663577-21-000668 SEC |
| - | 2019-09-30 | 145,070 | USD | 2020-12-17 | 10-K · 0001663577-20-000499 SEC |
| - | 2018-09-30 | 86,731 | USD | 2019-12-16 | 10-K · 0001663577-19-000420 SEC |
| - | 2017-09-30 | 125,441 | USD | 2019-01-15 | 10-K · 0001663577-19-000036 SEC |
| - | 2016-09-30 | 782,975 | USD | 2018-01-16 | 10-K · 0001663577-18-000019 SEC |
| - | 2015-09-30 | 657,647 | USD | 2016-12-30 | 10-K · 0001663577-16-000436 SEC |
| - | 2014-09-30 | 580,973 | USD | 2015-12-29 | 10-K · 0001662252-15-000002 SEC |
Related CleanSpark, Inc. histories
Inspect the source
- Entity
- CleanSpark, Inc. / CIK 0000827876
- Captured
- SEC response SHA-256
ac32bbc4ed23d42bbc6ab70aa3fb8896bdd061a735c83f537c5032a1e6eb0fe0
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
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- Read the MCP server source and integration examples
The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000827876.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))