Compx International (CIX) EBITDA (2010 - 2026)
Compx International's EBITDA came in at $9.78 million for Q2 2026, up 35.0% from $7.24 million a year earlier and up 23.5% from the prior quarter.
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Analysis
Compx International (CIX) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Compx International reported EBITDA of $29.9 million, up 23.9% year-over-year; for FY2025, it came in at $26.26 million, up 26.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, EBITDA was $20.71 million in FY2024 (-29.6%), $29.41 million in FY2023 (unchanged), $29.41 million in FY2022 (+20.7%) and $24.37 million in FY2021 (+55.7%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2010.
- Year-over-year, EBITDA has increased for six consecutive quarters, with growth averaging 11.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 100.3%), and the weakest in Q3 2024 (a decline of 43.4%).
- Business Quant data shows CIX's EBITDA at $7.92 million (Q1 2026), $6.54 million (Q4 2025) and $5.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 338.35 Bn | 310.05 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 196.58 Bn | 191.16 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.02 Bn | 138.12 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.43 Bn | 118.55 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 91.10 Bn | 83.83 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 89.06 Bn | 70.46 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Vertiv Holdings | 81.48 Bn | 72.10 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 79.16 Bn | 75.71 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Compx International | 444.46 Mn | 242.24 Mn | 15.54 Mn | 9.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.78 Mn |
| Mar 31, 2026 | 7.92 Mn |
| Dec 31, 2025 | 6.54 Mn |
| Sep 30, 2025 | 5.66 Mn |
| Jun 30, 2025 | 7.24 Mn |
| Mar 31, 2025 | 6.81 Mn |
| Dec 31, 2024 | 5.81 Mn |
| Sep 30, 2024 | 4.27 Mn |
| Jun 30, 2024 | 6.00 Mn |
| Mar 31, 2024 | 4.64 Mn |
| Dec 31, 2023 | 8.46 Mn |
| Sep 30, 2023 | 7.53 Mn |
| Jun 30, 2023 | 5.37 Mn |
| Mar 31, 2023 | 8.05 Mn |
| Dec 31, 2022 | 6.48 Mn |
| Sep 30, 2022 | 6.93 Mn |
| Jun 30, 2022 | 8.74 Mn |
| Mar 31, 2022 | 7.27 Mn |
| Dec 31, 2021 | 4.80 Mn |
| Sep 30, 2021 | 6.09 Mn |
API Access
Compx International EBITDA 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=ebitda&ticker=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();