Compx International (CIX) Operating Margin (2010 - 2026)
Compx International (CIX) reported Operating Margin of 14.53% for Q3 2026, up 2.61 percentage points from 11.92% a year earlier but down 5.93 percentage points from the prior quarter.
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Analysis
Compx International (CIX) Operating Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Compx International's Operating Margin came in at 16.89%, up 3.16 percentage points year-over-year; for FY2025, it came in at 14.28%, up 2.62 percentage points from FY2024.
- Operating Margin has a five-year change of +3.96 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 11.66% in FY2024 (-4.11 pp), 15.77% in FY2023 (+0.50 pp), 15.27% in FY2022 (+0.69 pp) and 14.58% in FY2021 (+4.26 pp).
- Five-year quarterly Operating Margin spans a low of 9.78% in Q1 2024 and a high of 20.45% in Q2 2026.
- Year over year, Operating Margin has now increased in each of the last seven quarters, with an average year-over-year change of +2.02 percentage points over the last eight quarters.
- The high point for year-over-year Operating Margin in five years was Q2 2026 (a gain of 4.80 percentage points); the low point was Q1 2024 (a drop of 7.32 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 20.45% (Q2 2026), 17.38% (Q1 2026) and 15.00% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 268.42 Bn | 239.73 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 200.18 Bn | 194.88 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 182.33 Bn | 150.42 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 139.45 Bn | 136.39 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 120.96 Bn | 118.84 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.01 Bn | 78.45 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.92 Bn | 86.65 Bn | 2.66 Bn | 26.92% |
| 8 | Illinois Tool Works | 80.83 Bn | 77.51 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 75.75 Bn | 64.60 Bn | 1.64 Bn | 22.81% |
| 10 | Compx International | 518.77 Mn | 305.48 Mn | 13.03 Mn | 14.53% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.53% |
| Jun 30, 2026 | 20.45% |
| Mar 31, 2026 | 17.38% |
| Dec 31, 2025 | 15.00% |
| Sep 30, 2025 | 11.92% |
| Jun 30, 2025 | 15.66% |
| Mar 31, 2025 | 14.57% |
| Dec 31, 2024 | 12.70% |
| Sep 30, 2024 | 9.95% |
| Jun 30, 2024 | 14.16% |
| Mar 31, 2024 | 9.78% |
| Dec 31, 2023 | 17.34% |
| Sep 30, 2023 | 16.22% |
| Jun 30, 2023 | 11.93% |
| Mar 31, 2023 | 17.11% |
| Dec 31, 2022 | 13.67% |
| Sep 30, 2022 | 13.81% |
| Jun 30, 2022 | 18.58% |
| Mar 31, 2022 | 15.00% |
| Dec 31, 2021 | 11.21% |
API Access
Compx 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=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "CIX", "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=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();