Parker-Hannifin (PH) Accumulated Expenses (2009 - 2026)
Parker-Hannifin's (PH) quarterly Accumulated Expenses came in at $658.0 million in Q2 2026, up 12.1% year-over-year from $587.0 million in Q2 2025, and up 17.5% quarter-over-quarter from $560.0 million in Q1 2026.
Parker-Hannifin (PH) Accumulated Expenses (2009 - 2026) Analysis & Trends
Parker-Hannifin (PH) has reported Accumulated Expenses for 18 consecutive years, with $658.0 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 12.1% year-over-year to $658.0 million in Q2 2026; TTM through Jun 2026 was $658.0 million, a 12.1% increase from a year earlier, with the FY2026 full-year figure at $658.0 million, up 12.1% from the prior year.
- Accumulated Expenses was $658.0 million for Q2 2026 at Parker-Hannifin, up from $560.0 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $658.0 million in Q2 2026 and troughed at $407.1 million in Q3 2024.
- A 5-year average of $500.9 million and a median of $473.0 million in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses soared 38.54% in 2023 and retreated 10.96% in 2024, its largest moves.
- Over 5 years, Accumulated Expenses stood at $453.0 million in 2022, then advanced by 4.24% to $472.2 million in 2023, then decreased by 10.96% to $420.5 million in 2024, then advanced by 16.06% to $488.0 million in 2025, then soared by 34.84% to $658.0 million in 2026.
- The last three Accumulated Expenses figures came in at $658.0 million (Q2 2026), $560.0 million (Q1 2026), and $488.0 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 | 658.00 Mn |
| Mar 31, 2026 | 560.00 Mn |
| Dec 31, 2025 | 488.00 Mn |
| Sep 30, 2025 | 432.00 Mn |
| Jun 30, 2025 | 587.00 Mn |
| Mar 31, 2025 | 473.73 Mn |
| Dec 31, 2024 | 420.48 Mn |
| Sep 30, 2024 | 407.11 Mn |
| Jun 30, 2024 | 581.00 Mn |
| Mar 31, 2024 | 514.02 Mn |
| Dec 31, 2023 | 472.24 Mn |
| Sep 30, 2023 | 424.54 Mn |
| Jun 30, 2023 | 651.32 Mn |
| Mar 31, 2023 | 543.53 Mn |
| Dec 31, 2022 | 453.04 Mn |
| Sep 30, 2022 | 462.08 Mn |
| Jun 30, 2022 | 470.13 Mn |
| Mar 31, 2022 | 418.88 Mn |
| Dec 31, 2021 | 335.42 Mn |
| Sep 30, 2021 | 341.36 Mn |
Parker-Hannifin 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=PH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PH", "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=PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();