Blusky Ai (BSAI) Non-Current Debt (2011 - 2023)
Blusky Ai (BSAI) recorded Non-Current Debt of $9,490 in Q4 2025.
Analysis
Blusky Ai (BSAI) Non-Current Debt (2011 - 2023) 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 | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 31.07 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 56.21 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 18.52 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 8.50 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 2.39 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.79 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | - |
| 10 | Blusky Ai | 220.19 Mn | 220.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 75,000.00 |
| Jun 30, 2023 | 928,618.00 |
| Mar 31, 2023 | 928,618.00 |
| 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 | 91,667.00 |
| Jun 30, 2021 | 91,667.00 |
| Mar 31, 2021 | 160,000.00 |
| Dec 31, 2020 | 160,000.00 |
| Sep 30, 2020 | 100,000.00 |
| Jun 30, 2020 | 184,929.00 |
| Mar 31, 2020 | 266,495.00 |
| Dec 31, 2019 | 211,066.00 |
| Jan 31, 2013 | 25,000.00 |
| Oct 31, 2012 | 25,000.00 |
| Jul 31, 2012 | 20,000.00 |
| Apr 30, 2012 | 20,000.00 |
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();