Compx International (CIX) Enterprise Value (2010 - 2026)
Compx International (CIX) reported Enterprise Value of $254.76 million for Q2 2026, down 6.1% from $271.21 million a year earlier but up 6.9% from the prior quarter.
Compx International (CIX) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Compx International's Enterprise Value came in at $104.96 million, up 9.9% year-over-year; for FY2025, it came in at $232.66 million, down 11.0% from FY2024.
- Enterprise Value has a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- By year, Enterprise Value came in at $261.35 million in FY2024 (+11.4%), $234.54 million in FY2023 (+40.0%), $167.54 million in FY2022 (-16.9%) and $201.61 million in FY2021 (+89.2%).
- Five-year quarterly Enterprise Value spans a low of $146.59 million in Q3 2022 and a high of $346.79 million in Q1 2024.
- Year over year, Enterprise Value gained in four of the last eight quarters, with growth averaging 7.1%.
- The high point for year-over-year Enterprise Value in five years was Q1 2024 (growth of 114.6%); the low point was Q1 2025 (a decline of 42.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $238.43 million (Q1 2026), $232.66 million (Q4 2025) and $242.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn |
| 10 | Compx International | 479.16 Mn | 276.93 Mn | 15.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 254.76 Mn |
| Mar 31, 2026 | 238.43 Mn |
| Dec 31, 2025 | 232.66 Mn |
| Sep 30, 2025 | 242.09 Mn |
| Jun 30, 2025 | 271.21 Mn |
| Mar 31, 2025 | 199.11 Mn |
| Dec 31, 2024 | 261.35 Mn |
| Sep 30, 2024 | 301.04 Mn |
| Jun 30, 2024 | 221.79 Mn |
| Mar 31, 2024 | 346.79 Mn |
| Dec 31, 2023 | 234.54 Mn |
| Sep 30, 2023 | 164.54 Mn |
| Jun 30, 2023 | 203.69 Mn |
| Mar 31, 2023 | 161.56 Mn |
| Dec 31, 2022 | 167.54 Mn |
| Sep 30, 2022 | 146.59 Mn |
| Jun 30, 2022 | 215.35 Mn |
| Mar 31, 2022 | 220.99 Mn |
| Dec 31, 2021 | 201.61 Mn |
| Sep 30, 2021 | 181.83 Mn |
Compx International Enterprise Value 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=enterprise-value&ticker=CIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();