Compx International (CIX) Cash & Equivalents (2010 - 2026)
Compx International's Cash & Equivalents was $52.42 million in Q2 2026, down 6.7% from $56.22 million a year earlier but up 6.0% from the prior quarter.
Compx International (CIX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Compx International came in at $54.1 million, down 11.0% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $60.78 million in FY2024 (+46.8%), $41.39 million in FY2023 (+54.8%), $26.75 million in FY2022 (-65.1%) and $76.58 million in FY2021 (+8.4%).
- Quarterly Cash & Equivalents has moved between $17.6 million (Q3 2023) and $76.58 million (Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for five straight quarters, with growth averaging 27.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2024 (growth of 290.8%); the worst was Q1 2023 (a decline of 74.4%).
- Per Business Quant data, CIX's Cash & Equivalents in the three quarters before Q2 2026 was $49.44 million (Q1 2026), $54.1 million (Q4 2025) and $46.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Compx International | 453.25 Mn | 251.03 Mn | 15.54 Mn | 52.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.42 Mn |
| Mar 31, 2026 | 49.44 Mn |
| Dec 31, 2025 | 54.10 Mn |
| Sep 30, 2025 | 46.27 Mn |
| Jun 30, 2025 | 56.22 Mn |
| Mar 31, 2025 | 56.13 Mn |
| Dec 31, 2024 | 60.78 Mn |
| Sep 30, 2024 | 58.79 Mn |
| Jun 30, 2024 | 70.17 Mn |
| Mar 31, 2024 | 51.87 Mn |
| Dec 31, 2023 | 41.39 Mn |
| Sep 30, 2023 | 17.60 Mn |
| Jun 30, 2023 | 17.96 Mn |
| Mar 31, 2023 | 17.99 Mn |
| Dec 31, 2022 | 26.75 Mn |
| Sep 30, 2022 | 53.28 Mn |
| Jun 30, 2022 | 70.06 Mn |
| Mar 31, 2022 | 70.21 Mn |
| Dec 31, 2021 | 76.58 Mn |
| Sep 30, 2021 | 75.96 Mn |
Compx International Cash & Equivalents 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=cash-and-equivalents&ticker=CIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();