Blusky Ai Inc. (BSAI) Operating Expenses (2010 - 2026)
Blusky Ai's Operating Expenses came in at $482,102 for Q2 2026, down 68.7% from $1.54 million a year earlier.
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Analysis
Blusky Ai Inc. (BSAI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Blusky Ai reported Operating Expenses of $3 million, up 54.1% year-over-year; for FY2025, it was $2.67 million, up 411.6% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $521,105 in FY2024 (-51.1%), $1.07 million in FY2023 (+43.0%), $745,856 in FY2022 (+7.7%) and $692,790 in FY2021 (-45.9%).
- The five-year range for quarterly Operating Expenses is -$211,125 (Q4 2021) to $1.54 million (Q2 2025).
- Year-over-year, Operating Expenses increased in four of the last six quarters, with growth averaging 82.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2025 (growth of 358.6%), and the weakest in Q3 2024 (a decline of 77.1%).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 482,102.00 |
| Dec 31, 2025 | 474,442.00 |
| Sep 30, 2025 | 504,153.00 |
| Jun 30, 2025 | 1.54 Mn |
| Mar 31, 2025 | 146,105.00 |
| Dec 31, 2024 | 150,644.00 |
| Sep 30, 2024 | 109,924.00 |
| Jun 30, 2024 | 136,619.00 |
| Mar 31, 2024 | 123,938.00 |
| Dec 31, 2023 | 102,383.00 |
| Sep 30, 2023 | 480,037.00 |
| Jun 30, 2023 | 192,208.00 |
| Mar 31, 2023 | 291,990.00 |
| Dec 31, 2022 | 210,064.00 |
| Sep 30, 2022 | 159,064.00 |
| Jun 30, 2022 | 152,408.00 |
| Mar 31, 2022 | 224,320.00 |
| Dec 31, 2021 | -211,125.00 |
| Sep 30, 2021 | 257,952.00 |
| Jun 30, 2021 | 353,831.00 |
API Access
Blusky Ai Inc. Operating Expenses 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=operating-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();