Blusky Ai (BSAI) Exchange Rate Effect (2015 - 2023)
Blusky Ai's Exchange Rate Effect came in at $1,105 for FY2023, compared with -$152.00 in FY2022.
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Analysis
Blusky Ai (BSAI) Exchange Rate Effect (2015 - 2023) Analysis & Trends
Going back to FY2014, Blusky Ai's Exchange Rate Effect data covers 10 years.
- Exchange Rate Effect carries a five-year compound annual growth rate of -25.9% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Exchange Rate Effect since FY2018.
- Per Business Quant, earlier years put Exchange Rate Effect at -$152.00 in FY2022, -$261.00 in FY2021, $424.00 in FY2020 and -$275.00 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | -1.00 Mn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | -34.00 Mn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | -5.00 Mn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 5.90 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 300,000.00 |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 6.25 Mn |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 1,105.00 |
| Dec 31, 2022 | -46.00 |
| Sep 30, 2022 | -46.00 |
| Jun 30, 2022 | -104.00 |
| Mar 31, 2022 | 44.00 |
| Dec 31, 2021 | -457.00 |
| Jun 30, 2021 | 63.00 |
| Mar 31, 2021 | 133.00 |
| Dec 31, 2020 | 355.00 |
| Sep 30, 2020 | 242.00 |
| Jun 30, 2020 | -58.00 |
| Mar 31, 2020 | -115.00 |
| Dec 31, 2019 | -41.00 |
| Sep 30, 2019 | -195.00 |
| Jun 30, 2019 | -8.00 |
| Mar 31, 2019 | -31.00 |
| Dec 31, 2018 | -3,324.00 |
| Sep 30, 2018 | 9,478.00 |
| Jun 30, 2018 | 2,694.00 |
| Mar 31, 2018 | -3,915.00 |
API Access
Blusky Ai Exchange Rate Effect 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=exchange-rate-effect&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();