Blusky Ai (BSAI) Price to Earnings (2015 - 2023)
Blusky Ai's Price to Earnings came in at 240.24 for Q4 2023, up 43.7% from the prior quarter.
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Analysis
Blusky Ai (BSAI) Price to Earnings (2015 - 2023) Analysis & Trends
Going back to Q2 2015, Blusky Ai's Price to Earnings data covers 14 quarters.
- Going back by year, Price to Earnings was 671.72 in FY2020.
- The Q4 2023 figure represents the highest quarterly Price to Earnings since Q1 2022.
- Business Quant data shows BSAI's Price to Earnings at 167.23 (Q3 2023), 155.68 (Q2 2023) and 141.02 (Q1 2023) in the three quarters before Q4 2023.
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 |
|---|---|
| Dec 31, 2023 | 240.24 |
| Sep 30, 2023 | 167.23 |
| Jun 30, 2023 | 155.68 |
| Mar 31, 2023 | 141.02 |
| Mar 31, 2022 | 551.61 |
| Sep 30, 2021 | 354.04 |
| Jun 30, 2021 | 305.20 |
| Dec 31, 2020 | 671.72 |
| Sep 30, 2017 | 2,514.66 |
| Jun 30, 2017 | 9,848.27 |
| Mar 31, 2017 | 1,311.74 |
| Dec 31, 2016 | 1,284.95 |
| Sep 30, 2015 | 44,696.28 |
| Jun 30, 2015 | 46,621.68 |
API Access
Blusky Ai Price to Earnings 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-earnings&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();