Blusky Ai (BSAI) Finished Goods (2015 - 2022)
Blusky Ai (BSAI) reported Finished Goods of $505,232 for Q3 2022, up 262.8% from $139,255 a year earlier and up 67.8% from the prior quarter.
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Analysis
Blusky Ai (BSAI) Finished Goods (2015 - 2022) Analysis & Trends
At the end of FY2021, Blusky Ai posted Finished Goods of $93,043, down 76.8% from FY2020.
- Finished Goods has a five-year compound annual growth rate of -11.0% (FY2016 to FY2021).
- By year, Finished Goods came in at $401,467 in FY2020 (-19.4%), $498,346 in FY2019 (+154.9%), $195,528 in FY2018 (-45.3%) and $357,275 in FY2017 (+115.0%).
- The Q3 2022 figure ranks as the highest quarterly Finished Goods since Q3 2019.
- Year over year, Finished Goods gained in two of the last eight quarters, with growth averaging 9.2%.
- The high point for year-over-year Finished Goods in five years was Q3 2019 (growth of 654.5%); the low point was Q4 2021 (a decline of 76.8%).
- Per Business Quant data, the three quarters before Q3 2022 came in at $301,081 (Q2 2022), $128,712 (Q1 2022) and $93,043 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 505,232.00 |
| Jun 30, 2022 | 301,081.00 |
| Mar 31, 2022 | 128,712.00 |
| Dec 31, 2021 | 93,043.00 |
| Sep 30, 2021 | 139,255.00 |
| Jun 30, 2021 | 363,184.00 |
| Mar 31, 2021 | 162,665.00 |
| Dec 31, 2020 | 401,467.00 |
| Sep 30, 2020 | 214,357.00 |
| Jun 30, 2020 | 282,624.00 |
| Mar 31, 2020 | 313,827.00 |
| Dec 31, 2019 | 498,346.00 |
| Sep 30, 2019 | 583,785.00 |
| Jun 30, 2019 | 219,771.00 |
| Mar 31, 2019 | 172,038.00 |
| Dec 31, 2018 | 195,528.00 |
| Sep 30, 2018 | 77,370.00 |
| Jun 30, 2018 | 107,395.00 |
| Mar 31, 2018 | 112,190.00 |
| Dec 31, 2017 | 357,275.00 |
API Access
Blusky Ai Finished Goods 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=finished-goods&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();