Compx International (CIX) Change in Accrued Expenses (2009 - 2026)
Compx International (CIX) reported Change in Accrued Expenses of $4.03 million for Q3 2026, up 681.9% from $515,000 a year earlier and up 5.1% from the prior quarter.
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Analysis
Compx International (CIX) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Compx International's Change in Accrued Expenses came in at $4.15 million, up 414.9% year-over-year; for FY2025, it was $774,000.
- Change in Accrued Expenses has a five-year compound annual growth rate of 52.1% (FY2020 to FY2025).
- By year, Change in Accrued Expenses came in at -$1.21 million in FY2024, $104,000 in FY2023 (-89.0%), $943,000 in FY2022 (-63.0%) and $2.55 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly Change in Accrued Expenses in data going back to Q3 2010.
- Year over year, Change in Accrued Expenses gained in three of the last five quarters, with growth averaging 167.5%.
- The high point for year-over-year Change in Accrued Expenses in five years was Q3 2026 (growth of 681.9%); the low point was Q3 2022 (a decline of 56.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $3.83 million (Q2 2026), -$5.1 million (Q1 2026) and $1.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 762.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 205.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 35.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 112.80 Mn |
| 10 | Compx International | 550.21 Mn | 336.93 Mn | 13.03 Mn | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.03 Mn |
| Jun 30, 2026 | 3.83 Mn |
| Mar 31, 2026 | -5.10 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 515,000.00 |
| Jun 30, 2025 | 2.38 Mn |
| Mar 31, 2025 | -3.52 Mn |
| Dec 31, 2024 | 1.43 Mn |
| Sep 30, 2024 | -48,000.00 |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | -5.99 Mn |
| Dec 31, 2023 | 630,000.00 |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 2.92 Mn |
| Mar 31, 2023 | -4.54 Mn |
| Dec 31, 2022 | -511,000.00 |
| Sep 30, 2022 | 1.01 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | -3.06 Mn |
| Dec 31, 2021 | 639,000.00 |
API Access
Compx International Change in Accrued Expenses 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=change-in-accured-expenses&ticker=CIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();