Blusky Ai (BSAI) Price to Sales (2016 - 2022)
Blusky Ai's Price to Sales was 134.93 in Q3 2022, down 56.2% from 307.70 a year earlier but up 45.4% from the prior quarter.
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Analysis
Blusky Ai (BSAI) Price to Sales (2016 - 2022) Analysis & Trends
For FY2021, Price to Sales at Blusky Ai came in at 164.22, down 56.7% from FY2020.
- In earlier years, Price to Sales was 379.68 in FY2020 and 4089.34 in FY2017 (+9.2%).
- Quarterly Price to Sales has moved between 92.79 (Q2 2022) and 4089.34 (Q4 2017) over five years.
- Compared with a year earlier, Price to Sales has declined for three straight quarters.
- Per Business Quant data, BSAI's Price to Sales in the three quarters before Q3 2022 was 92.79 (Q2 2022), 227.06 (Q1 2022) and 164.22 (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn |
| 10 | Blusky Ai | 258.32 Mn | 258.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 134.93 |
| Jun 30, 2022 | 92.79 |
| Mar 31, 2022 | 227.06 |
| Dec 31, 2021 | 164.22 |
| Sep 30, 2021 | 307.70 |
| Jun 30, 2021 | 445.63 |
| Mar 31, 2021 | 752.84 |
| Mar 31, 2018 | 2,780.94 |
| Dec 31, 2017 | 4,089.34 |
| Sep 30, 2017 | 3,824.00 |
| Jun 30, 2017 | 4,015.11 |
| Mar 31, 2017 | 3,633.42 |
| Dec 31, 2016 | 3,744.90 |
| Sep 30, 2016 | 6,557.51 |
| Jun 30, 2016 | 7,753.15 |
| Mar 31, 2016 | 171,584.04 |
API Access
Blusky Ai Price to Sales 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=price-to-sales&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();