Big Sky Industrial (BSIN) Return on Sales [ROS] (2010 - 2026)
Big Sky Industrial (BSIN) posted Return on Sales [ROS] of -111.76% for Q2 2026, up 195.88 percentage points from -307.64% a year earlier and up 84.25 percentage points from the prior quarter.
Big Sky Industrial (BSIN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Big Sky Industrial was -153.74%, up 34.75 percentage points year-over-year; for FY2025, it came in at -195.28%, down 70.76 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive years, though with a five-year change of +35.19 percentage points (FY2020 to FY2025).
- In prior years, Big Sky Industrial's Return on Sales [ROS] was -124.52% in FY2024 (-16.09 pp), -108.43% in FY2023 (-116.37 pp), 7.94% in FY2022 (+29.49 pp) and -21.55% in FY2021 (+208.92 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -5.88 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2021, with a gain of 450.69 percentage points; the weakest was Q4 2023, with a drop of 299.61 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -196.01% (Q1 2026), -118.65% (Q4 2025) and -194.42% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - | 16.94% |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn | 28.46% |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn | -28.44% |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - | 5.19% |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn | 53.17% |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - | 36.94% |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn | -74.35% |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - | 41.56% |
| 10 | Big Sky Industrial | 74.53 Mn | 55.51 Mn | - | -111.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -111.76% |
| Mar 31, 2026 | -196.01% |
| Dec 31, 2025 | -118.65% |
| Sep 30, 2025 | -194.42% |
| Jun 30, 2025 | -307.64% |
| Mar 31, 2025 | -140.81% |
| Dec 31, 2024 | -278.93% |
| Sep 30, 2024 | -83.76% |
| Jun 30, 2024 | -28.38% |
| Mar 31, 2024 | -148.80% |
| Dec 31, 2023 | -302.73% |
| Sep 30, 2023 | -93.90% |
| Jun 30, 2023 | -33.86% |
| Mar 31, 2023 | -23.69% |
| Dec 31, 2022 | -3.12% |
| Sep 30, 2022 | 3.59% |
| Jun 30, 2022 | 20.09% |
| Mar 31, 2022 | 8.26% |
| Dec 31, 2021 | -72.94% |
| Sep 30, 2021 | 12.78% |
Big Sky Industrial Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BSIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BSIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();