Terawulf (WULF) Land & Improvements (2010 - 2021)
Terawulf (WULF) posted Land & Improvements of $9.56 million for Q3 2021, unchanged from $9.56 million a year earlier and unchanged from the prior quarter.
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Analysis
Terawulf (WULF) Land & Improvements (2010 - 2021) Analysis & Trends
Since Q4 2010, Terawulf has reported Land & Improvements for 43 quarters.
- Annual Land & Improvements shows a five-year compound annual growth rate of 8.4% (FY2015 to FY2020).
- In prior years, Terawulf's Land & Improvements was $9.56 million in FY2019 (+0.6%), $9.5 million in FY2018 (+3.2%), $9.21 million in FY2017 (+0.2%) and $9.19 million in FY2016 (+43.8%).
- Quarterly Land & Improvements has run from a low of $9.19 million in Q4 2016 to a high of $9.56 million in Q4 2019 over five years.
- On a year-over-year basis, Land & Improvements increased in four of the last eight quarters, with growth averaging 0.3%.
- The strongest year-over-year quarter for Land & Improvements in the past five years was Q1 2017, with growth of 44.5%; the weakest was Q2 2017, with a decline of 1.9%.
- According to Business Quant data, Land & Improvements for the three prior quarters was $9.56 million (Q2 2021), $9.56 million (Q1 2021) and $9.56 million (Q4 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,961.51 Bn | 3,884.67 Bn | 60.48 Bn | 10.55 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 9.56 Mn |
| Jun 30, 2021 | 9.56 Mn |
| Mar 31, 2021 | 9.56 Mn |
| Dec 31, 2020 | 9.56 Mn |
| Sep 30, 2020 | 9.56 Mn |
| Jun 30, 2020 | 9.56 Mn |
| Mar 31, 2020 | 9.56 Mn |
| Dec 31, 2019 | 9.56 Mn |
| Sep 30, 2019 | 9.50 Mn |
| Jun 30, 2019 | 9.50 Mn |
| Mar 31, 2019 | 9.50 Mn |
| Dec 31, 2018 | 9.50 Mn |
| Sep 30, 2018 | 9.51 Mn |
| Jun 30, 2018 | 9.37 Mn |
| Mar 31, 2018 | 9.22 Mn |
| Dec 31, 2017 | 9.21 Mn |
| Sep 30, 2017 | 9.20 Mn |
| Jun 30, 2017 | 9.20 Mn |
| Mar 31, 2017 | 9.20 Mn |
| Dec 31, 2016 | 9.19 Mn |
API Access
Terawulf Land & Improvements 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=land-and-improvements&ticker=WULF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=WULF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();