Terawulf (WULF) Depreciation and Depletion (2010 - 2026)
Terawulf (WULF) reported Depreciation and Depletion of $21.24 million for Q2 2026, up 13.1% from $18.79 million a year earlier but down 25.4% from the prior quarter.
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Analysis
Terawulf (WULF) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Terawulf's Depreciation and Depletion came in at $103.96 million, up 60.1% year-over-year; for FY2025, it was $88.6 million, up 48.1% from FY2024.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 166.3% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $59.81 million in FY2024 (+111.0%), $28.35 million in FY2023 (+325.2%) and $6.67 million in FY2022.
- Five-year quarterly Depreciation and Depletion spans a low of -$315,385 in Q3 2021 and a high of $4 billion in Q1 2022.
- Year over year, Depreciation and Depletion has now increased in each of the last 12 quarters, with growth averaging 57.3% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2023 (growth of 442.8%); the low point was Q1 2023 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $28.48 million (Q1 2026), $27.74 million (Q4 2025) and $26.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | - |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | - |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | 21.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.24 Mn |
| Mar 31, 2026 | 28.48 Mn |
| Dec 31, 2025 | 27.74 Mn |
| Sep 30, 2025 | 26.50 Mn |
| Jun 30, 2025 | 18.79 Mn |
| Mar 31, 2025 | 15.57 Mn |
| Dec 31, 2024 | 14.94 Mn |
| Sep 30, 2024 | 15.64 Mn |
| Jun 30, 2024 | 14.13 Mn |
| Mar 31, 2024 | 15.09 Mn |
| Dec 31, 2023 | 8.27 Mn |
| Sep 30, 2023 | 8.22 Mn |
| Jun 30, 2023 | 6.43 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 4.95 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 200,000.00 |
| Mar 31, 2022 | 4.00 Bn |
| Sep 30, 2021 | -315,385.00 |
| Jun 30, 2021 | 315,385.00 |
API Access
Terawulf Depreciation and Depletion 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=depreciation-and-depletion&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "WULF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();