Caterpillar (CAT) Accumulated Expenses (2009 - 2026)
Caterpillar (CAT) posted Accumulated Expenses of $5.8 billion for Q2 2026, up 6.8% on a QoQ basis from $5.5 billion in Q1 2026, and up 11.87% year-over-year from $5.2 billion in Q2 2025.
Caterpillar (CAT) Accumulated Expenses (2009 - 2026) Analysis & Trends
Caterpillar has reported Accumulated Expenses for 18 years, with the latest figure at $5.8 billion in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 11.87% year-over-year to $5.8 billion in Q2 2026; TTM through Jun 2026 was $5.8 billion, a 11.87% increase from a year earlier, with the FY2025 full-year figure at $5.6 billion, up 6.56% from the prior year.
- Accumulated Expenses was $5.8 billion for Q2 2026 at Caterpillar, up from $5.5 billion in the prior quarter.
- The five-year high for Accumulated Expenses was $5.8 billion in Q2 2026, with the low at $3.8 billion in Q2 2022.
- Average Accumulated Expenses over 5 years is $4.8 billion, with a median of $5.0 billion recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Accumulated Expenses gained 21.52% in 2023, then grew 3.51% in 2025.
- Over 5 years, Accumulated Expenses stood at $4.1 billion in 2022, then increased by 21.52% to $5.0 billion in 2023, then climbed by 5.75% to $5.2 billion in 2024, then grew by 6.56% to $5.6 billion in 2025, then rose by 4.26% to $5.8 billion in 2026.
- The last three Accumulated Expenses figures came in at $5.8 billion (Q2 2026), $5.5 billion (Q1 2026), and $5.6 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 371.58 Bn | 364.86 Bn | 7.76 Bn |
| 2 | Amphenol | 204.28 Bn | 198.29 Bn | 3.55 Bn |
| 3 | Deere | 189.58 Bn | 180.70 Bn | 12.32 Bn |
| 4 | Eaton | 171.87 Bn | 171.22 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 121.60 Bn | 121.11 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.62 Bn | 94.51 Bn | 1.23 Bn |
| 7 | 3M | 87.32 Bn | 84.04 Bn | 2.68 Bn |
| 8 | Emerson Electric | 86.05 Bn | 83.88 Bn | 2.66 Bn |
| 9 | Illinois Tool Works | 77.02 Bn | 76.18 Bn | 1.90 Bn |
| 10 | Cummins | 72.43 Bn | 68.82 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.83 Bn |
| Mar 31, 2026 | 5.45 Bn |
| Dec 31, 2025 | 5.59 Bn |
| Sep 30, 2025 | 5.19 Bn |
| Jun 30, 2025 | 5.21 Bn |
| Mar 31, 2025 | 4.99 Bn |
| Dec 31, 2024 | 5.24 Bn |
| Sep 30, 2024 | 4.98 Bn |
| Jun 30, 2024 | 4.95 Bn |
| Mar 31, 2024 | 4.82 Bn |
| Dec 31, 2023 | 4.96 Bn |
| Sep 30, 2023 | 4.67 Bn |
| Jun 30, 2023 | 4.49 Bn |
| Mar 31, 2023 | 4.12 Bn |
| Dec 31, 2022 | 4.08 Bn |
| Sep 30, 2022 | 4.01 Bn |
| Jun 30, 2022 | 3.78 Bn |
| Mar 31, 2022 | 3.85 Bn |
| Dec 31, 2021 | 3.76 Bn |
| Sep 30, 2021 | 3.58 Bn |
Caterpillar Accumulated 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=accumulated-expenses&ticker=CAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();