Standex International (SXI) Operating Margin (2010 - 2026)
Standex International's Operating Margin came in at 16.45% for 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) Operating Margin (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Standex International's Operating Margin was 21.71%, up 9.87 percentage points from FY2025.
- Operating Margin carries a five-year change of +12.70 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was 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).
- The five-year range for quarterly Operating Margin is 4.46% (fiscal Q2 2025) to 48.02% (fiscal Q3 2023).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of +3.77 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q3 2023 (a gain of 35.09 percentage points), and the weakest in fiscal Q3 2024 (a drop of 35.70 percentage points).
- Business Quant data shows SXI's Operating Margin at 40.44% (Q3 2026), 16.07% (Q2 2026) and 13.63% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 26.67% |
| 10 | Standex International | 3.29 Bn | 2.82 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 Operating Margin 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=operating-margin&ticker=SXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=SXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();