Blusky Ai (BSAI) Total Current Liabilities (2014 - 2026)
Blusky Ai (BSAI) posted Total Current Liabilities of $3.75 million for Q2 2026, up 9.6% from $3.42 million a year earlier.
Analysis
Blusky Ai (BSAI) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Blusky Ai's Total Current Liabilities came in at $3.42 million, up 2.1% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -34.8% (FY2020 to FY2025).
- In prior years, Blusky Ai's Total Current Liabilities was $3.35 million in FY2024 (+112.3%), $1.58 million in FY2023 (-94.6%), $29.07 million in FY2022 (+15.0%) and $25.28 million in FY2021 (-12.8%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q4 2022.
- On a year-over-year basis, Total Current Liabilities increased in six of the last seven quarters, with growth averaging 87.1%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 364.3%; the weakest was Q2 2023, with a decline of 94.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 1.68 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 2.84 Bn |
| 10 | Blusky Ai | 220.19 Mn | 220.19 Mn | - | 3.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.75 Mn |
| Dec 31, 2025 | 3.42 Mn |
| Sep 30, 2025 | 3.30 Mn |
| Jun 30, 2025 | 3.42 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | 3.35 Mn |
| Sep 30, 2024 | 3.44 Mn |
| Jun 30, 2024 | 3.19 Mn |
| Mar 31, 2024 | 683,663.00 |
| Dec 31, 2023 | 1.58 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 1.34 Mn |
| Mar 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 29.07 Mn |
| Sep 30, 2022 | 27.98 Mn |
| Jun 30, 2022 | 26.50 Mn |
| Mar 31, 2022 | 26.09 Mn |
| Dec 31, 2021 | 25.28 Mn |
| Sep 30, 2021 | 28.96 Mn |
| Jun 30, 2021 | 29.27 Mn |
API Access
Blusky Ai Total Current Liabilities 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=total-current-liabilities&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();