BlackSky Technology (BKSY) Operating Expenses (2018 - 2026)
BlackSky Technology (BKSY) posted Operating Expenses of $24.07 million for Q2 2026, up 6.1% from $22.68 million a year earlier and up 5.9% from the prior quarter.
BlackSky Technology (BKSY) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at BlackSky Technology was $90.26 million, up 10.1% year-over-year; for FY2025, it was $117.13 million, down 1.0% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 106.3% (FY2020 to FY2025).
- In prior years, BlackSky Technology's Operating Expenses was $118.31 million in FY2024 (+1.9%), $116.16 million in FY2023 (+0.6%), $115.51 million in FY2022 (+15.9%) and $99.67 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2022.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 11.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 22.6%; the weakest was Q4 2023, with a decline of 42.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $22.73 million (Q1 2026), $21.69 million (Q4 2025) and $21.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.75 Bn | 245.82 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 240.49 Bn | 220.89 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 126.20 Bn | 112.13 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 113.29 Bn | 100.60 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.07 Bn | 79.71 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 36.13 Bn | 22.25 Bn | - | - |
| 7 | Okta | 35.83 Bn | 25.93 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 31.81 Bn | 26.33 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 30.63 Bn | 21.10 Bn | 569.77 Mn | 541.37 Mn |
| 10 | BlackSky Technology | 665.89 Mn | 45.25 Mn | 24.27 Mn | 24.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.07 Mn |
| Mar 31, 2026 | 22.73 Mn |
| Dec 31, 2025 | 21.69 Mn |
| Sep 30, 2025 | 21.77 Mn |
| Jun 30, 2025 | 22.68 Mn |
| Mar 31, 2025 | 21.69 Mn |
| Dec 31, 2024 | 19.64 Mn |
| Sep 30, 2024 | 18.00 Mn |
| Jun 30, 2024 | 18.50 Mn |
| Mar 31, 2024 | 19.27 Mn |
| Dec 31, 2023 | 17.45 Mn |
| Sep 30, 2023 | 17.71 Mn |
| Jun 30, 2023 | 18.94 Mn |
| Mar 31, 2023 | 19.17 Mn |
| Dec 31, 2022 | 30.32 Mn |
| Sep 30, 2022 | 28.46 Mn |
| Jun 30, 2022 | 26.85 Mn |
| Mar 31, 2022 | 29.99 Mn |
| Dec 31, 2021 | 32.80 Mn |
| Sep 30, 2021 | 43.93 Mn |
BlackSky Technology Operating 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=operating-expenses&ticker=BKSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BKSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();