Friedman Industries (FRD) Return on Sales [ROS] (2010 - 2026)
Friedman Industries (FRD) recorded Return on Sales [ROS] of 8.77% in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 3.54 percentage points from 5.23% a year earlier and up 2.60 percentage points from the prior quarter.
Friedman Industries (FRD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Friedman Industries' Return on Sales [ROS] came in at 5.27% as of Jun 30, 2026, up 2.80 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 3.97%, up 3.28 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -8.51 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 0.68% in FY2025 (-4.06 pp), 4.75% in FY2024 (+0.90 pp), 3.85% in FY2023 (-6.15 pp) and 10.00% in FY2022 (-2.47 pp).
- The fiscal Q1 2027 figure is the highest quarterly Return on Sales [ROS] since fiscal Q2 2022.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +1.12 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 27.56 percentage points in fiscal Q2 2022, against a drop of 34.98 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 6.17% (Q4 2026), 2.32% (Q3 2026) and 1.89% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 26.67% |
| 10 | Friedman Industries | 285.84 Mn | 270.77 Mn | 21.03 Mn | 8.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.77% |
| Mar 31, 2026 | 6.17% |
| Dec 31, 2025 | 2.32% |
| Sep 30, 2025 | 1.89% |
| Jun 30, 2025 | 5.23% |
| Mar 31, 2025 | 4.53% |
| Dec 31, 2024 | -1.26% |
| Sep 30, 2024 | -0.21% |
| Jun 30, 2024 | -1.22% |
| Mar 31, 2024 | 5.24% |
| Dec 31, 2023 | 5.32% |
| Sep 30, 2023 | 0.81% |
| Jun 30, 2023 | 7.54% |
| Mar 31, 2023 | 5.84% |
| Dec 31, 2022 | 1.28% |
| Sep 30, 2022 | 0.05% |
| Jun 30, 2022 | 7.61% |
| Mar 31, 2022 | -5.68% |
| Dec 31, 2021 | -10.84% |
| Sep 30, 2021 | 26.29% |
Friedman Industries 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=FRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FRD", "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=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();