Flexible Solutions International (FSI) Return on Sales [ROS] (2010 - 2026)
Flexible Solutions International's Return on Sales [ROS] was -29.19% in Q2 2026, down 58.19 percentage points from 29.01% a year earlier and down 28.15 percentage points from the prior quarter.
Flexible Solutions International (FSI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flexible Solutions International's Return on Sales [ROS] was -2.62% through Jun 30, 2026, down 18.72 percentage points year-over-year; for FY2025, it was 11.95%, down 2.48 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -1.16 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 14.43% in FY2024 (+5.28 pp), 9.14% in FY2023 (-6.24 pp), 15.38% in FY2022 (-0.55 pp) and 15.93% in FY2021 (+2.82 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -6.97 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 24.98 percentage points); the worst was Q2 2026 (a drop of 58.19 percentage points).
- Per Business Quant data, FSI's Return on Sales [ROS] in the three quarters before Q2 2026 was -1.04% (Q1 2026), 11.65% (Q4 2025) and 2.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn | 14.73% |
| 10 | Flexible Solutions International | 77.24 Mn | 52.51 Mn | -287,766.00 | -29.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.19% |
| Mar 31, 2026 | -1.04% |
| Dec 31, 2025 | 11.65% |
| Sep 30, 2025 | 2.95% |
| Jun 30, 2025 | 29.01% |
| Mar 31, 2025 | -0.93% |
| Dec 31, 2024 | 9.43% |
| Sep 30, 2024 | 20.55% |
| Jun 30, 2024 | 18.72% |
| Mar 31, 2024 | 8.30% |
| Dec 31, 2023 | 17.57% |
| Sep 30, 2023 | -4.43% |
| Jun 30, 2023 | 10.18% |
| Mar 31, 2023 | 12.01% |
| Dec 31, 2022 | 10.14% |
| Sep 30, 2022 | 13.98% |
| Jun 30, 2022 | 16.56% |
| Mar 31, 2022 | 21.62% |
| Dec 31, 2021 | 1.81% |
| Sep 30, 2021 | 24.34% |
Flexible Solutions International 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=FSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FSI", "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=FSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();