Compx International (CIX) Cost of Revenue (2010 - 2026)
Compx International (CIX) posted Cost of Revenue of $28.08 million for Q2 2026, up 2.2% from $27.48 million a year earlier and up 2.8% from the prior quarter.
Compx International (CIX) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Compx International was $109.92 million, up 2.6% 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%).
- Quarterly Cost of Revenue has run from a low of $23.63 million in Q3 2021 to a high of $30.93 million in Q3 2022 over five years.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with growth averaging 0.3%.
- 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 $27.32 million (Q1 2026), $25.6 million (Q4 2025) and $28.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Compx International | 470.03 Mn | 267.80 Mn | 15.54 Mn | 28.08 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 23.63 Mn |
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_KEY
import 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();