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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn |
| 10 | Terawulf | 5.52 Bn | -3.71 Bn | 32.37 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();