Blusky Ai (BSAI) Land & Improvements (2014 - 2026)
Blusky Ai (BSAI) recorded Land & Improvements of $248,116 in Q2 2026.
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Analysis
Blusky Ai (BSAI) Land & Improvements (2014 - 2026) Analysis & Trends
At the end of FY2017, Blusky Ai reported Land & Improvements of $279,344, up 10.3% from FY2016.
- Annual Land & Improvements has a three-year compound annual growth rate of 185.4% (FY2014 to FY2017).
- Across earlier years, Land & Improvements came in at $253,313 in FY2016, $11,562 in FY2015 (-3.8%) and $12,022 in FY2014.
- The Q2 2026 figure is the highest quarterly Land & Improvements since Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 10.55 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | - |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | - |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - | 248,116.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248,116.00 |
| Sep 30, 2018 | 273,954.00 |
| Jun 30, 2018 | 274,721.00 |
| Mar 31, 2018 | 278,729.00 |
| Dec 31, 2017 | 279,344.00 |
| Sep 30, 2017 | 271,598.00 |
| Jun 30, 2017 | 271,006.00 |
| Mar 31, 2017 | 253,409.00 |
| Dec 31, 2016 | 253,313.00 |
| Sep 30, 2016 | 258,508.00 |
| Jun 30, 2016 | 261,246.00 |
| Mar 31, 2016 | 263,015.00 |
| Dec 31, 2015 | 11,562.00 |
| Dec 31, 2014 | 12,022.00 |
API Access
Blusky Ai 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=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "BSAI", "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=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();