Compx International (CIX) Return on Sales [ROS] (2009 - 2026)
Compx International's Return on Sales [ROS] was 14.53% in 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) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Compx International's Return on Sales [ROS] was 16.89% through Sep 30, 2026, up 3.16 percentage points year-over-year; for FY2025, it was 14.28%, up 2.62 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +3.96 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 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).
- Quarterly Return on Sales [ROS] has moved between 9.78% (Q1 2024) and 20.45% (Q2 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for seven straight quarters, with an average year-over-year change of +2.02 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 4.80 percentage points); the worst was Q1 2024 (a drop of 7.32 percentage points).
- Per Business Quant data, CIX's Return on Sales [ROS] in the three quarters before Q3 2026 was 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 20.38% |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.53% |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 17.76% |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 19.96% |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 23.66% |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 25.88% |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 27.79% |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 22.81% |
| 10 | Compx International | 550.21 Mn | 336.93 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 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=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();