Terawulf (WULF) Amortization of Deferred Charges (2016 - 2024)
Terawulf (WULF) recorded Amortization of Deferred Charges of $8,998 in Q2 2020, down 41.5% from $15,376 a year earlier and down 4.8% from the prior quarter.
Terawulf (WULF) Amortization of Deferred Charges (2016 - 2024) Analysis & Trends
On a TTM basis, Terawulf's Amortization of Deferred Charges came in at $37,158 as of Jun 30, 2020, down 11.9% year-over-year; for FY2019, it was $43,014, up 17.9% from FY2018.
- Annual Amortization of Deferred Charges has a four-year compound annual growth rate of 14.5% (FY2015 to FY2019).
- Across earlier years, Amortization of Deferred Charges came in at $36,485 in FY2018 (-4.7%), $38,265 in FY2017 (+13.3%), $33,768 in FY2016 (+34.9%) and $25,040 in FY2015.
- The Q2 2020 figure is the lowest quarterly Amortization of Deferred Charges since Q1 2019.
- On a year-over-year basis, Amortization of Deferred Charges rose in four of the last eight quarters, with growth averaging 2.9%.
- Peak year-over-year performance for Amortization of Deferred Charges in the last five years was growth of 67.6% in Q2 2019, against a decline of 41.5% in Q2 2020 at the low end.
- Per Business Quant, the preceding three quarters came in at $9,454 (Q1 2020), $9,352 (Q4 2019) and $9,354 (Q3 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 240,000.00 |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 7.59 Mn |
| Dec 31, 2023 | 5.20 Mn |
| Sep 30, 2023 | 6.01 Mn |
| Jun 30, 2023 | 4.76 Mn |
| Mar 31, 2023 | 3.55 Mn |
| Dec 31, 2022 | 4.21 Mn |
| Sep 30, 2022 | 3.03 Mn |
| Jun 30, 2022 | 1.98 Mn |
| Mar 31, 2022 | 2.46 Mn |
| Jun 30, 2020 | 8,998.00 |
| Mar 31, 2020 | 9,454.00 |
| Dec 31, 2019 | 9,352.00 |
| Sep 30, 2019 | 9,354.00 |
| Jun 30, 2019 | 15,376.00 |
| Mar 31, 2019 | 8,932.00 |
| Dec 31, 2018 | 9,022.00 |
| Sep 30, 2018 | 8,848.00 |
| Jun 30, 2018 | 9,173.00 |
Terawulf Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=WULF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();