Blusky Ai (BSAI) Non-Current Debt (2011 - 2026)
Blusky Ai (BSAI) recorded Non-Current Debt of $9,490 in Q4 2025.
Analysis
Blusky Ai (BSAI) Non-Current Debt (2011 - 2026) Analysis & Trends
For FY2025, Blusky Ai reported Non-Current Debt of $131,212.
- The Q4 2025 figure is the highest quarterly Non-Current Debt since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,949.96 Bn | 3,873.12 Bn | 60.48 Bn | 31.07 Bn |
| 2 | International Business Machines | 225.89 Bn | 176.71 Bn | 9.91 Bn | 56.21 Bn |
| 3 | Cloudflare | 104.48 Bn | 88.01 Bn | 499.52 Mn | - |
| 4 | Equinix | 97.13 Bn | 85.69 Bn | 1.40 Bn | 18.52 Bn |
| 5 | Nebius | 41.04 Bn | 14.47 Bn | 448.70 Mn | 8.50 Bn |
| 6 | CoreWeave | 34.37 Bn | 21.47 Bn | 1.70 Bn | 2.39 Bn |
| 7 | Verisign | 27.82 Bn | 25.03 Bn | 384.60 Mn | 1.79 Bn |
| 8 | Nutanix | 18.23 Bn | 9.91 Bn | 651.35 Mn | - |
| 9 | GoDaddy | 14.28 Bn | 9.85 Bn | 828.20 Mn | 3.76 Bn |
| 10 | Blusky Ai | 257.31 Mn | 254.55 Mn | - | 60,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60,000.00 |
| Dec 31, 2025 | 60,000.00 |
| Sep 30, 2025 | 60,000.00 |
| Jun 30, 2025 | 125,000.00 |
| Mar 31, 2025 | 125,000.00 |
| Dec 31, 2024 | 125,000.00 |
| Sep 30, 2024 | 125,000.00 |
| Jun 30, 2024 | 125,000.00 |
| Mar 31, 2024 | 125,000.00 |
| Dec 31, 2023 | 125,000.00 |
| Sep 30, 2023 | 210,000.00 |
| Jun 30, 2023 | 135,000.00 |
| Mar 31, 2023 | 135,000.00 |
| Dec 31, 2022 | 60,000.00 |
| Sep 30, 2022 | 5.38 Mn |
| Jun 30, 2022 | 5.38 Mn |
| Mar 31, 2022 | 5.38 Mn |
| Dec 31, 2021 | 5.38 Mn |
| Sep 30, 2021 | 272,206.00 |
| Jun 30, 2021 | 283,334.00 |
API Access
Blusky Ai Non-Current Debt 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=non-current-debt&ticker=BSAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BSAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();