Blusky Ai (BSAI) Accumulated Expenses (2014 - 2026)
Blusky Ai (BSAI) recorded Accumulated Expenses of $154,539 in Q2 2026, down 87.5% from $1.24 million a year earlier.
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Analysis
Blusky Ai (BSAI) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Blusky Ai reported Accumulated Expenses of $143,841, down 88.3% from FY2024.
- Annual Accumulated Expenses has declined for three straight years, with a five-year compound annual growth rate of -38.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $1.23 million in FY2024 (-7.9%), $1.33 million in FY2023 (-68.4%), $4.22 million in FY2022 (+52.2%) and $2.77 million in FY2021 (+71.3%).
- Quarterly Accumulated Expenses has ranged from $138,797 in Q3 2025 to $5.45 million in Q3 2022 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in 1 of the last seven quarters, with an average decline of 41.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 508.7% in Q2 2024, against a decline of 94.9% in Q2 2023 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Blusky Ai | 204.65 Mn | 204.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154,539.00 |
| Dec 31, 2025 | 143,841.00 |
| Sep 30, 2025 | 138,797.00 |
| Jun 30, 2025 | 1.24 Mn |
| Mar 31, 2025 | 1.16 Mn |
| Dec 31, 2024 | 1.23 Mn |
| Sep 30, 2024 | 1.68 Mn |
| Jun 30, 2024 | 1.56 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 1.33 Mn |
| Sep 30, 2023 | 1.33 Mn |
| Jun 30, 2023 | 256,715.00 |
| Mar 31, 2023 | 331,131.00 |
| Dec 31, 2022 | 4.22 Mn |
| Sep 30, 2022 | 5.45 Mn |
| Jun 30, 2022 | 5.03 Mn |
| Mar 31, 2022 | 4.78 Mn |
| Dec 31, 2021 | 2.77 Mn |
| Sep 30, 2021 | 2.66 Mn |
| Jun 30, 2021 | 2.51 Mn |
API Access
Blusky Ai Accumulated 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=accumulated-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();