BlackSky Technology (BKSY) Total Non-Current Liabilities (2019 - 2026)
BlackSky Technology (BKSY) reported Total Non-Current Liabilities of $266.32 million for Q2 2026, up 44.9% from $183.74 million a year earlier and up 1.6% from the prior quarter.
BlackSky Technology (BKSY) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, BlackSky Technology posted Total Non-Current Liabilities of $270.72 million, up 90.4% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 110.3% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $142.19 million in FY2024 (+22.8%), $115.76 million in FY2023, $2.64 million in FY2022 (+274.2%) and $706,000 in FY2021 (-89.3%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $475,000 in Q2 2022 and a high of $270.72 million in Q4 2025.
- Year over year, Total Non-Current Liabilities has now increased in each of the last ten quarters, with growth averaging 52.9% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q4 2022 (growth of 274.2%); the low point was Q2 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $262.08 million (Q1 2026), $270.72 million (Q4 2025) and $263.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 269.64 Bn | 254.71 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 244.16 Bn | 224.56 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 127.03 Bn | 112.96 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 109.37 Bn | 96.69 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 94.00 Bn | 75.65 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Zscaler | 37.55 Bn | 23.67 Bn | - | 5.20 Bn |
| 7 | Okta | 36.01 Bn | 26.10 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 32.32 Bn | 26.85 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 29.88 Bn | 20.35 Bn | 569.77 Mn | 770.18 Mn |
| 10 | BlackSky Technology | 654.99 Mn | 34.35 Mn | 24.27 Mn | 262.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 262.32 Mn |
| Mar 31, 2026 | 254.49 Mn |
| Dec 31, 2025 | 260.22 Mn |
| Sep 30, 2025 | 248.59 Mn |
| Jun 30, 2025 | 162.47 Mn |
| Mar 31, 2025 | 151.48 Mn |
| Dec 31, 2024 | 139.81 Mn |
| Sep 30, 2024 | 124.22 Mn |
| Jun 30, 2024 | 134.82 Mn |
| Mar 31, 2024 | 108.96 Mn |
| Dec 31, 2023 | 114.03 Mn |
| Sep 30, 2023 | 101.56 Mn |
| Jun 30, 2023 | 100.12 Mn |
| Mar 31, 2023 | 100.98 Mn |
| Dec 31, 2022 | 106.28 Mn |
| Sep 30, 2022 | 101.81 Mn |
| Jun 30, 2022 | 99.00 Mn |
| Mar 31, 2022 | 110.17 Mn |
| Dec 31, 2021 | 108.57 Mn |
| Sep 30, 2021 | 113.74 Mn |
BlackSky Technology Total Non-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-non-current-liabilities&ticker=BKSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BKSY", "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-non-current-liabilities&ticker=BKSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();