Terawulf (WULF) Depreciation & Amortization - Total (2022 - 2026)
Terawulf (WULF) recorded Depreciation & Amortization - Total of $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 - Total (2022 - 2026) Analysis & Trends
On a TTM basis, Terawulf's Depreciation & Amortization - Total came in at $103.96 million as of Jun 30, 2026, up 60.1% year-over-year; for FY2025, it was $88.6 million, up 48.1% from FY2024.
- Annual Depreciation & Amortization - Total has increased for three straight years, with a three-year compound annual growth rate of 136.9% (FY2022 to FY2025).
- Across earlier years, Depreciation & Amortization - Total came in at $59.81 million in FY2024 (+111.0%), $28.35 million in FY2023 (+325.2%) and $6.67 million in FY2022.
- Quarterly Depreciation & Amortization - Total has ranged from $200,000 in Q2 2022 to $4 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Depreciation & Amortization - Total has increased for 12 consecutive quarters, with growth averaging 57.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization - Total in the last five years was growth of 442.8% in Q3 2023, against a decline of 99.9% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $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. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 215.03 Bn | 165.84 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 114.69 Bn | 98.22 Bn | 499.52 Mn | - |
| 4 | Equinix | 98.17 Bn | 86.73 Bn | 1.40 Bn | - |
| 5 | Nebius | 44.92 Bn | 18.35 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 36.20 Bn | 23.29 Bn | 1.70 Bn | - |
| 7 | Verisign | 27.35 Bn | 24.56 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.78 Bn | 10.46 Bn | 651.35 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
| 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 |
Terawulf Depreciation & Amortization - Total 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-total&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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-total&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();