Eaton (ETN) Accumulated Expenses (2011 - 2026)
Eaton's (ETN) quarterly Accumulated Expenses came in at $630.0 million in Q2 2026, up 19.09% year-over-year from $529.0 million in Q2 2025, and up 9.95% quarter-over-quarter from $573.0 million in Q1 2026.
Eaton (ETN) Accumulated Expenses (2011 - 2026) Analysis & Trends
Eaton (ETN) has reported Accumulated Expenses for 16 consecutive years, with $630.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 19.09% year-over-year to $630.0 million in Q2 2026; TTM through Jun 2026 was $630.0 million, a 19.09% increase from a year earlier, with the FY2025 full-year figure at $644.0 million, down 3.88% from the prior year.
- Accumulated Expenses was $630.0 million for Q2 2026 at Eaton, up from $573.0 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $687.0 million in Q3 2024 and troughed at $331.0 million in Q1 2022.
- A 5-year average of $533.3 million and a median of $529.0 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses fell 14.59% in 2022 and jumped 44.75% in 2023, its largest moves.
- Over 5 years, Accumulated Expenses stood at $467.0 million in 2022, then jumped by 44.75% to $676.0 million in 2023, then dropped by 0.89% to $670.0 million in 2024, then dropped by 3.88% to $644.0 million in 2025, then slipped by 2.17% to $630.0 million in 2026.
- The last three Accumulated Expenses figures came in at $630.0 million (Q2 2026), $573.0 million (Q1 2026), and $644.0 million (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 | 630.00 Mn |
| Mar 31, 2026 | 573.00 Mn |
| Dec 31, 2025 | 644.00 Mn |
| Sep 30, 2025 | 680.00 Mn |
| Jun 30, 2025 | 529.00 Mn |
| Mar 31, 2025 | 489.00 Mn |
| Dec 31, 2024 | 670.00 Mn |
| Sep 30, 2024 | 687.00 Mn |
| Jun 30, 2024 | 529.00 Mn |
| Mar 31, 2024 | 492.00 Mn |
| Dec 31, 2023 | 676.00 Mn |
| Sep 30, 2023 | 592.00 Mn |
| Jun 30, 2023 | 465.00 Mn |
| Mar 31, 2023 | 350.00 Mn |
| Dec 31, 2022 | 467.00 Mn |
| Sep 30, 2022 | 432.00 Mn |
| Jun 30, 2022 | 363.00 Mn |
| Mar 31, 2022 | 331.00 Mn |
| Dec 31, 2021 | 501.00 Mn |
| Sep 30, 2021 | 489.00 Mn |
Eaton 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=ETN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ETN", "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=ETN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();