Compx International (CIX) Cash & Equivalents (2009 - 2026)
Compx International's Cash & Equivalents was $57.33 million in Q3 2026, up 23.9% from $46.27 million a year earlier and up 9.4% from the prior quarter.
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Analysis
Compx International (CIX) Cash & Equivalents (2009 - 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%).
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents since Q4 2024.
- Compared with a year earlier, Cash & Equivalents was higher in three of the last eight quarters, with growth averaging 1.0%.
- 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 Q3 2026 was $52.42 million (Q2 2026), $49.44 million (Q1 2026) and $54.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 7.93 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 4.17 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 528.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 711.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 4.84 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.81 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 809.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 3.51 Bn |
| 10 | Compx International | 550.21 Mn | 336.93 Mn | 13.03 Mn | 57.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.33 Mn |
| 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 |
API Access
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_KEYimport 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();