Big Sky Industrial (BSIN) Selling, General & Administrative (2019 - 2026)
Big Sky Industrial's Selling, General & Administrative came in at $2.65 million for Q2 2026, up 17.9% from $2.25 million a year earlier but down 13.2% from the prior quarter.
Big Sky Industrial (BSIN) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Big Sky Industrial reported Selling, General & Administrative of $9.12 million, up 6.8% year-over-year; for FY2025, it was $8.06 million, down 1.6% from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 14.8% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $8.2 million in FY2024 (-28.9%), $11.52 million in FY2023 (+3.3%), $11.16 million in FY2022 (+140.7%) and $4.64 million in FY2021.
- The five-year range for quarterly Selling, General & Administrative is $686,000 (Q3 2021) to $3.37 million (Q2 2023).
- Year-over-year, Selling, General & Administrative increased in four of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q1 2022 (growth of 301.4%), and the weakest in Q2 2024 (a decline of 37.9%).
- Business Quant data shows BSIN's Selling, General & Administrative at $3.05 million (Q1 2026), $1.31 million (Q4 2025) and $2.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | 2.48 Bn |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 2.91 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | 1.31 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 188.00 Mn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | -3.44 Bn |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | 538.00 Mn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | 114.95 Mn |
| 10 | Big Sky Industrial | 74.53 Mn | 55.51 Mn | - | 2.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.65 Mn |
| Mar 31, 2026 | 3.05 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Sep 30, 2025 | 2.11 Mn |
| Jun 30, 2025 | 2.25 Mn |
| Mar 31, 2025 | 2.39 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 2.25 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 2.56 Mn |
| Sep 30, 2023 | 2.82 Mn |
| Jun 30, 2023 | 3.37 Mn |
| Mar 31, 2023 | 2.77 Mn |
| Dec 31, 2022 | 2.86 Mn |
| Sep 30, 2022 | 2.71 Mn |
| Jun 30, 2022 | 2.64 Mn |
| Mar 31, 2022 | 2.95 Mn |
| Dec 31, 2021 | 2.40 Mn |
| Sep 30, 2021 | 686,000.00 |
Big Sky Industrial Selling, General & Administrative 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=selling-general-and-administrative&ticker=BSIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();