Compx International (CIX) Cost of Revenue (2009 - 2026)
Compx International (CIX) posted Cost of Revenue of $30.96 million for Q3 2026, up 7.1% from $28.92 million a year earlier and up 10.3% from the prior quarter.
Powered by 
Analysis
Compx International (CIX) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Compx International was $111.96 million, up 0.1% year-over-year; for FY2025, it came in at $110.11 million, up 5.3% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Compx International's Cost of Revenue was $104.58 million in FY2024 (-6.7%), $112.07 million in FY2023 (-4.8%), $117.76 million in FY2022 (+20.1%) and $98.07 million in FY2021 (+20.0%).
- The Q3 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q2 2010.
- On a year-over-year basis, Cost of Revenue increased in four of the last eight quarters, with growth averaging 2.8%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2022, with growth of 30.9%; the weakest was Q3 2024, with a decline of 12.8%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $28.08 million (Q2 2026), $27.32 million (Q1 2026) and $25.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.46 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Compx International | 550.21 Mn | 336.93 Mn | 13.03 Mn | 30.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.96 Mn |
| Jun 30, 2026 | 28.08 Mn |
| Mar 31, 2026 | 27.32 Mn |
| Dec 31, 2025 | 25.60 Mn |
| Sep 30, 2025 | 28.92 Mn |
| Jun 30, 2025 | 27.48 Mn |
| Mar 31, 2025 | 28.11 Mn |
| Dec 31, 2024 | 27.35 Mn |
| Sep 30, 2024 | 24.20 Mn |
| Jun 30, 2024 | 24.72 Mn |
| Mar 31, 2024 | 28.30 Mn |
| Dec 31, 2023 | 29.54 Mn |
| Sep 30, 2023 | 27.74 Mn |
| Jun 30, 2023 | 26.34 Mn |
| Mar 31, 2023 | 28.45 Mn |
| Dec 31, 2022 | 28.82 Mn |
| Sep 30, 2022 | 30.93 Mn |
| Jun 30, 2022 | 28.05 Mn |
| Mar 31, 2022 | 29.97 Mn |
| Dec 31, 2021 | 24.60 Mn |
API Access
Compx International Cost of Revenue 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=cost-of-revenue&ticker=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();