Chicago Rivet & Machine (CVR) Operating Expenses (2010 - 2026)
Chicago Rivet & Machine's Operating Expenses came in at $1.6 million for Q2 2026, up 14.7% from $1.39 million a year earlier and up 19.2% from the prior quarter.
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Analysis
Chicago Rivet & Machine (CVR) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Chicago Rivet & Machine reported Operating Expenses of $5.62 million, down 10.1% year-over-year; for FY2025, it came in at $5.32 million, down 14.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $6.22 million in FY2024 (+18.8%), $5.24 million in FY2023, $254,127 in FY2022 (-95.0%) and $5.11 million in FY2021 (+2.2%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 1.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2024 (growth of 31.0%), and the weakest in Q4 2025 (a decline of 19.0%).
- Business Quant data shows CVR's Operating Expenses at $1.34 million (Q1 2026), $1.42 million (Q4 2025) and $1.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Chicago Rivet & Machine | 10.68 Mn | 5.06 Mn | 563,312.00 | 1.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.60 Mn |
| Mar 31, 2026 | 1.34 Mn |
| Dec 31, 2025 | 1.42 Mn |
| Sep 30, 2025 | 1.26 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | 1.59 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.31 Mn |
| Mar 31, 2024 | 1.65 Mn |
| Dec 31, 2023 | 1.35 Mn |
| Sep 30, 2023 | 1.27 Mn |
| Jun 30, 2023 | 1.36 Mn |
| Mar 31, 2023 | 1.26 Mn |
| Dec 31, 2022 | 1.18 Mn |
| Sep 30, 2022 | -3.49 Mn |
| Jun 30, 2022 | 1.26 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 1.17 Mn |
| Sep 30, 2021 | 1.29 Mn |
API Access
Chicago Rivet & Machine Operating 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=operating-expenses&ticker=CVR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CVR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();