Parker-Hannifin (PH) Other Accumulated Expenses (2009 - 2026)
Parker-Hannifin (PH) posted Other Accumulated Expenses of $1.25 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.3% from $1.32 billion a year earlier but up 49.1% from the prior quarter.
Parker-Hannifin (PH) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Parker-Hannifin has reported Other Accumulated Expenses for 69 quarters.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- In prior fiscal years, Parker-Hannifin's Other Accumulated Expenses was $1.32 billion in FY2025 (+33.9%), $982 million in FY2024 (+9.7%), $895.37 million in FY2023 (-46.8%) and $1.68 billion in FY2022 (+146.6%).
- Quarterly Other Accumulated Expenses has run from a low of $724.13 million in fiscal Q1 2022 to a high of $1.68 billion in fiscal Q4 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with an average decline of 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q4 2022, with growth of 146.6%; the weakest was fiscal Q4 2023, with a decline of 46.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $835 million (Q3 2026), $937 million (Q2 2026) and $938 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 351.95 Bn | 323.65 Bn | 7.76 Bn |
| 2 | Amphenol | 210.08 Bn | 204.66 Bn | 3.55 Bn |
| 3 | Deere | 174.33 Bn | 142.42 Bn | 4.66 Bn |
| 4 | Eaton | 165.73 Bn | 162.92 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.53 Bn | 118.66 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.72 Bn | 83.45 Bn | 2.66 Bn |
| 7 | Vertiv Holdings | 90.41 Bn | 81.03 Bn | 1.23 Bn |
| 8 | 3M | 83.98 Bn | 65.38 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 75.85 Bn | 72.41 Bn | 1.90 Bn |
| 10 | Cummins | 72.65 Bn | 68.72 Bn | 2.47 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.25 Bn |
| Mar 31, 2026 | 835.00 Mn |
| Dec 31, 2025 | 937.00 Mn |
| Sep 30, 2025 | 938.00 Mn |
| Jun 30, 2025 | 1.32 Bn |
| Mar 31, 2025 | 851.73 Mn |
| Dec 31, 2024 | 1.03 Bn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 982.00 Mn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 1.11 Bn |
| Jun 30, 2023 | 895.37 Mn |
| Mar 31, 2023 | 900.77 Mn |
| Dec 31, 2022 | 1.05 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 829.14 Mn |
| Sep 30, 2021 | 724.13 Mn |
Parker-Hannifin Other 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=other-accumulated-expenses&ticker=PH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();