Terawulf (WULF) Depreciation & Amortization (CF) (2010 - 2026)
Terawulf's Depreciation & Amortization (CF) was $21.24 million in Q2 2026, up 13.1% from $18.79 million a year earlier but down 25.4% from the prior quarter.
Terawulf (WULF) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Terawulf's Depreciation & Amortization (CF) was $103.96 million through Jun 30, 2026, up 60.1% year-over-year; for FY2025, it came in at $88.6 million, up 48.1% from FY2024.
- Depreciation & Amortization (CF) has now increased for three consecutive years, with a five-year compound annual growth rate of 166.3% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $59.81 million in FY2024 (+111.0%), $28.35 million in FY2023 (+325.2%) and $6.67 million in FY2022.
- Quarterly Depreciation & Amortization (CF) has moved between -$315,385 (Q3 2021) and $4 billion (Q1 2022) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for 12 straight quarters, with growth averaging 57.3% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q3 2023 (growth of 442.8%); the worst was Q1 2023 (a decline of 99.9%).
- Per Business Quant data, WULF's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $28.48 million (Q1 2026), $27.74 million (Q4 2025) and $26.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 11.02 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 | 65.36 Mn |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | 557.00 Mn |
| 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 | 1.39 Bn |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | 6.60 Mn |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 Mn | 17.06 Mn |
| 9 | GoDaddy | 13.53 Bn | 9.11 Bn | 828.20 Mn | 13.30 Mn |
| 10 | Terawulf | 5.64 Bn | -3.59 Bn | 32.37 Mn | 21.24 Mn |
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 |
Terawulf Depreciation & Amortization (CF) 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-amortization-cf&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();