Caterpillar (CAT) Other Operating Expenses (2009 - 2026)
Caterpillar (CAT) posted Other Operating Expenses of $13.73 billion for Q2 2026, up 18.9% from $11.55 billion a year earlier and up 14.1% from the prior quarter.
Caterpillar (CAT) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Caterpillar was $52.17 billion, up 21.1% year-over-year; for FY2025, it was $47.59 billion, up 10.0% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Caterpillar's Other Operating Expenses was $43.27 billion in FY2024 (-6.3%), $46.18 billion in FY2023 (+5.1%), $43.94 billion in FY2022 (+13.5%) and $38.73 billion in FY2021 (+23.1%).
- Quarterly Other Operating Expenses has run from a low of $9.39 billion in Q3 2021 to a high of $14.12 billion in Q4 2025 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last five quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2025, with growth of 27.5%; the weakest was Q4 2023, with a decline of 10.4%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $12.04 billion (Q1 2026), $14.12 billion (Q4 2025) and $12.29 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 282.34 Bn | 282.34 Bn | - |
| 2 | Amphenol | 196.37 Bn | 189.89 Bn | 4.02 Bn |
| 3 | Deere | 180.40 Bn | 148.49 Bn | 4.66 Bn |
| 4 | Eaton | 142.03 Bn | 139.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 117.42 Bn | 115.55 Bn | 2.25 Bn |
| 6 | Emerson Electric | 93.00 Bn | 85.73 Bn | 2.66 Bn |
| 7 | 3M | 92.98 Bn | 74.42 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 86.47 Bn | 75.32 Bn | 1.64 Bn |
| 9 | Illinois Tool Works | 82.63 Bn | 79.31 Bn | 1.91 Bn |
| 10 | Cummins | 69.15 Bn | 65.22 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -359.00 Mn |
| Jun 30, 2026 | -471.00 Mn |
| Mar 31, 2026 | -326.00 Mn |
| Dec 31, 2025 | -377.00 Mn |
| Sep 30, 2025 | -190.00 Mn |
| Jun 30, 2025 | -321.00 Mn |
| Mar 31, 2025 | -306.00 Mn |
| Dec 31, 2024 | -344.00 Mn |
| Sep 30, 2024 | -355.00 Mn |
| Jun 30, 2024 | -556.00 Mn |
| Mar 31, 2024 | -223.00 Mn |
| Dec 31, 2023 | -322.00 Mn |
| Sep 30, 2023 | -320.00 Mn |
| Jun 30, 2023 | -300.00 Mn |
| Mar 31, 2023 | -876.00 Mn |
| Dec 31, 2022 | -310.00 Mn |
| Sep 30, 2022 | -339.00 Mn |
| Jun 30, 2022 | -303.00 Mn |
| Mar 31, 2022 | -266.00 Mn |
| Dec 31, 2021 | -220.00 Mn |
Caterpillar Other 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=other-operating-expenses&ticker=CAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();