Cummins (CMI) Operating Expenses (2009 - 2026)
Cummins (CMI) posted Operating Expenses of $1.28 billion for Q2 2026, up 12.5% from $1.14 billion a year earlier and up 6.2% from the prior quarter.
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Analysis
Cummins (CMI) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cummins was $4.75 billion, up 3.9% year-over-year; for FY2025, it came in at $4.52 billion, down 4.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Cummins' Operating Expenses was $4.74 billion in FY2024 (-2.0%), $4.83 billion in FY2023 (+21.9%), $3.97 billion in FY2022 (+14.5%) and $3.46 billion in FY2021 (+14.3%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2009.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 1.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2023, with growth of 36.5%; the weakest was Q4 2024, with a decline of 8.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.2 billion (Q1 2026), $1.14 billion (Q4 2025) and $1.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.94 Bn | 323.64 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 209.39 Bn | 203.97 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 174.05 Bn | 142.14 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 165.12 Bn | 162.30 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.51 Bn | 118.63 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 90.72 Bn | 83.46 Bn | 2.66 Bn | 1.34 Bn |
| 7 | Vertiv Holdings | 90.08 Bn | 80.70 Bn | 1.23 Bn | 490.50 Mn |
| 8 | 3M | 83.97 Bn | 65.37 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 75.88 Bn | 72.44 Bn | 1.90 Bn | - |
| 10 | Cummins | 72.44 Bn | 68.52 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.28 Bn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.16 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.21 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.27 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.26 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 921.00 Mn |
| Mar 31, 2022 | 913.00 Mn |
| Dec 31, 2021 | 917.00 Mn |
| Oct 3, 2021 | 837.00 Mn |
API Access
Cummins 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=CMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CMI", "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=CMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();