Blusky Ai (BSAI) Change in Accured Expenses (2010 - 2025)
Blusky Ai (BSAI) posted Change in Accured Expenses of -$28,612 for Q4 2025, compared with $70,554 a year earlier.
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Analysis
Blusky Ai (BSAI) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For FY2025, Blusky Ai's Change in Accured Expenses came in at $94,609, down 76.6% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -42.7% (FY2020 to FY2025).
- In prior years, Blusky Ai's Change in Accured Expenses was $404,154 in FY2024, $30,888 in FY2023 (-98.1%), $1.6 million in FY2022 (+77.4%) and $899,359 in FY2021 (-41.3%).
- Quarterly Change in Accured Expenses has run from a low of -$1.28 million in Q3 2023 to a high of $1.31 million in Q4 2023 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 42.5%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2024, with growth of 203.2%; the weakest was Q4 2024, with a decline of 94.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$156,597 (Q3 2025), $165,417 (Q2 2025) and $114,401 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 39.19 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | -18.00 Mn |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 23.10 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | -656.00 Mn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | -15.60 Mn |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 97.90 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | 26.94 Mn |
| 10 | Blusky Ai | 258.32 Mn | 258.32 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -28,612.00 |
| Sep 30, 2025 | -156,597.00 |
| Jun 30, 2025 | 165,417.00 |
| Mar 31, 2025 | 114,401.00 |
| Dec 31, 2024 | 70,554.00 |
| Sep 30, 2024 | 119,509.00 |
| Jun 30, 2024 | 126,496.00 |
| Mar 31, 2024 | 87,595.00 |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | -1.28 Mn |
| Jun 30, 2023 | 41,721.00 |
| Mar 31, 2023 | -44,620.00 |
| Dec 31, 2022 | 489,727.00 |
| Sep 30, 2022 | 469,127.00 |
| Jun 30, 2022 | 262,856.00 |
| Mar 31, 2022 | 374,049.00 |
| Dec 31, 2021 | 246,416.00 |
| Sep 30, 2021 | -19,352.00 |
| Jun 30, 2021 | 705,282.00 |
| Mar 31, 2021 | -32,987.00 |
API Access
Blusky Ai Change in Accured 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=change-in-accured-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();