Blusky Ai (BSAI) Inventory (2014 - 2022)
Blusky Ai (BSAI) posted Inventory of $738,500 for Q3 2022, up 70.0% from $434,514 a year earlier and up 40.1% from the prior quarter.
Analysis
Blusky Ai (BSAI) Inventory (2014 - 2022) Analysis & Trends
At the end of FY2021, Blusky Ai's Inventory came in at $455,438, down 38.2% from FY2020.
- Annual Inventory shows a five-year compound annual growth rate of -21.0% (FY2016 to FY2021).
- In prior years, Blusky Ai's Inventory was $736,749 in FY2020 (-13.8%), $855,069 in FY2019 (+49.9%), $570,614 in FY2018 (-60.1%) and $1.43 million in FY2017 (-3.6%).
- The Q3 2022 figure stands as the highest quarterly Inventory since Q4 2019.
- On a year-over-year basis, Inventory increased in three of the last eight quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Inventory in the past five years was Q3 2019, with growth of 95.0%; the weakest was Q2 2018, with a decline of 80.7%.
- According to Business Quant data, Inventory for the three prior quarters was $527,115 (Q2 2022), $445,711 (Q1 2022) and $455,438 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 1.40 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 1.75 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | - |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | - |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | - |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | - |
| 10 | Blusky Ai | 220.19 Mn | 220.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 738,500.00 |
| Jun 30, 2022 | 527,115.00 |
| Mar 31, 2022 | 445,711.00 |
| Dec 31, 2021 | 455,438.00 |
| Sep 30, 2021 | 434,514.00 |
| Jun 30, 2021 | 658,035.00 |
| Mar 31, 2021 | 276,068.00 |
| Dec 31, 2020 | 736,749.00 |
| Sep 30, 2020 | 416,319.00 |
| Jun 30, 2020 | 669,039.00 |
| Mar 31, 2020 | 643,137.00 |
| Dec 31, 2019 | 855,069.00 |
| Sep 30, 2019 | 1.08 Mn |
| Jun 30, 2019 | 676,661.00 |
| Mar 31, 2019 | 412,804.00 |
| Dec 31, 2018 | 570,614.00 |
| Sep 30, 2018 | 554,557.00 |
| Jun 30, 2018 | 404,889.00 |
| Mar 31, 2018 | 504,749.00 |
| Dec 31, 2017 | 1.43 Mn |
API Access
Blusky Ai Inventory 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=inventory&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();