Big Sky Industrial (BSIN) Operating Expenses (2010 - 2026)
Big Sky Industrial (BSIN) reported Operating Expenses of $4.52 million for Q2 2026, down 45.3% from $8.27 million a year earlier and down 4.8% from the prior quarter.
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Analysis
Big Sky Industrial (BSIN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Big Sky Industrial's Operating Expenses came in at $17.43 million, down 54.9% year-over-year; for FY2025, it came in at $21.71 million, down 53.1% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 23.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $46.29 million in FY2024 (-31.3%), $67.36 million in FY2023 (+64.2%), $41.01 million in FY2022 (+406.8%) and $8.09 million in FY2021 (+5.1%).
- Five-year quarterly Operating Expenses spans a low of $1.56 million in Q3 2021 and a high of $29.5 million in Q4 2023.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with an average decline of 40.8% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 631.1%); the low point was Q4 2025 (a decline of 81.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.75 million (Q1 2026), $3.05 million (Q4 2025) and $5.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | 17.00 Mn |
| 10 | Big Sky Industrial | 74.01 Mn | 54.99 Mn | - | 4.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.52 Mn |
| Mar 31, 2026 | 4.75 Mn |
| Dec 31, 2025 | 3.05 Mn |
| Sep 30, 2025 | 5.12 Mn |
| Jun 30, 2025 | 8.27 Mn |
| Mar 31, 2025 | 5.28 Mn |
| Dec 31, 2024 | 16.01 Mn |
| Sep 30, 2024 | 9.11 Mn |
| Jun 30, 2024 | 7.76 Mn |
| Mar 31, 2024 | 13.41 Mn |
| Dec 31, 2023 | 29.50 Mn |
| Sep 30, 2023 | 16.95 Mn |
| Jun 30, 2023 | 10.68 Mn |
| Mar 31, 2023 | 10.23 Mn |
| Dec 31, 2022 | 10.73 Mn |
| Sep 30, 2022 | 11.38 Mn |
| Jun 30, 2022 | 10.77 Mn |
| Mar 31, 2022 | 8.14 Mn |
| Dec 31, 2021 | 3.47 Mn |
| Sep 30, 2021 | 1.56 Mn |
API Access
Big Sky Industrial 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=BSIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BSIN", "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=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();