Blusky Ai (BSAI) Research & Development (2010 - 2015)
Blusky Ai (BSAI) recorded Research & Development of $17,400 in Q3 2015, down 60.7% from $44,265 a year earlier.
Blusky Ai (BSAI) Research & Development (2010 - 2015) Analysis & Trends
On a TTM basis, Blusky Ai's Research & Development came in at $57,160 as of Sep 30, 2015, down 19.2% year-over-year; for FY2015, it was $248,542, up 620.5% from FY2014.
- Annual Research & Development has increased for three straight years, though with a five-year compound annual growth rate of -25.5% (FY2010 to FY2015).
- Across earlier years, Research & Development came in at $34,494 in FY2014 (+419.4%), $6,641 in FY2013 (+10.3%), $6,021 in FY2012 (-99.7%) and $2.17 million in FY2011 (+99.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 10.00 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 2.31 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 159.49 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | - |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 191.00 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 27.50 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 205.05 Mn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 148.82 Mn |
| 10 | Blusky Ai | 220.19 Mn | 220.19 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 17,400.00 |
| Sep 30, 2014 | 44,265.00 |
| Jul 31, 2014 | -19,150.00 |
| Apr 30, 2014 | 14,645.00 |
| Jan 31, 2014 | 30,979.00 |
| Oct 31, 2013 | 8,020.00 |
| Jul 31, 2013 | -3,749.00 |
| Apr 30, 2013 | 10,390.00 |
| Oct 31, 2011 | 6,021.00 |
| Jul 31, 2011 | 512,460.00 |
| Apr 30, 2011 | 511,329.00 |
| Jan 31, 2011 | 521,049.00 |
| Oct 31, 2010 | 623,952.00 |
Blusky Ai Research & Development 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=research-and-development&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();