Standex International (SXI) Return on Capital Employed [ROCE] (2011 - 2026)
Standex International's Return on Capital Employed [ROCE] was 14.59% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.88 percentage points from 6.71% a year earlier and up 0.79 percentage points from the prior quarter.
Standex International (SXI) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Capital Employed [ROCE] at Standex International came in at 14.37%, up 6.01 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of +7.00 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 8.36% in FY2025 (-3.10 pp), 11.46% in FY2024 (-8.93 pp), 20.40% in FY2023 (+9.33 pp) and 11.07% in FY2022 (+3.70 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for three straight quarters, with an average year-over-year change of -2.27 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2023 (a gain of 8.47 percentage points); the worst was fiscal Q2 2025 (a drop of 12.41 percentage points).
- Per Business Quant data, SXI's Return on Capital Employed [ROCE] in the three fiscal quarters before Q4 2026 was 13.80% (Q3 2026), 9.12% (Q2 2026) and 7.12% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Standex International | 3.48 Bn | 3.00 Bn | 97.44 Mn | 14.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.59% |
| Mar 31, 2026 | 13.80% |
| Dec 31, 2025 | 9.12% |
| Sep 30, 2025 | 7.12% |
| Jun 30, 2025 | 6.71% |
| Mar 31, 2025 | 6.25% |
| Dec 31, 2024 | 7.27% |
| Sep 30, 2024 | 11.05% |
| Jun 30, 2024 | 11.67% |
| Mar 31, 2024 | 11.75% |
| Dec 31, 2023 | 19.68% |
| Sep 30, 2023 | 19.70% |
| Jun 30, 2023 | 19.46% |
| Mar 31, 2023 | 18.92% |
| Dec 31, 2022 | 12.12% |
| Sep 30, 2022 | 11.42% |
| Jun 30, 2022 | 10.99% |
| Mar 31, 2022 | 11.02% |
| Dec 31, 2021 | 8.78% |
| Sep 30, 2021 | 8.19% |
Standex International Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=SXI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();