Standex International (SXI) Return on Sales [ROS] (2010 - 2026)
Standex International (SXI) recorded Return on Sales [ROS] of 16.45% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.81 percentage points from 15.64% a year earlier but down 23.99 percentage points from the prior quarter.
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Analysis
Standex International (SXI) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International reported Return on Sales [ROS] of 21.71%, up 9.87 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +12.70 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 11.84% in FY2025 (-2.28 pp), 14.12% in FY2024 (-8.97 pp), 23.09% in FY2023 (+11.08 pp) and 12.01% in FY2022 (+2.99 pp).
- Quarterly Return on Sales [ROS] has ranged from 4.46% in fiscal Q2 2025 to 48.02% in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +3.77 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 35.09 percentage points in fiscal Q3 2023, against a drop of 35.70 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 40.44% (Q3 2026), 16.07% (Q2 2026) and 13.63% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Standex International | 3.48 Bn | 3.00 Bn | 97.44 Mn | 16.45% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.45% |
| Mar 31, 2026 | 40.44% |
| Dec 31, 2025 | 16.07% |
| Sep 30, 2025 | 13.63% |
| Jun 30, 2025 | 15.64% |
| Mar 31, 2025 | 12.63% |
| Dec 31, 2024 | 4.46% |
| Sep 30, 2024 | 14.14% |
| Jun 30, 2024 | 15.07% |
| Mar 31, 2024 | 12.32% |
| Dec 31, 2023 | 14.48% |
| Sep 30, 2023 | 14.57% |
| Jun 30, 2023 | 15.12% |
| Mar 31, 2023 | 48.02% |
| Dec 31, 2022 | 14.81% |
| Sep 30, 2022 | 14.56% |
| Jun 30, 2022 | 10.41% |
| Mar 31, 2022 | 12.93% |
| Dec 31, 2021 | 11.72% |
| Sep 30, 2021 | 13.00% |
API Access
Standex 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=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SXI", "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=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();