Parker-Hannifin (PH) Operating Expenses (2009 - 2026)
Parker-Hannifin's Operating Expenses came in at $874 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.2% from $839 million a year earlier but down 1.1% from the prior quarter.
Powered by 
Analysis
Parker-Hannifin (PH) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Parker-Hannifin's Operating Expenses was $3.47 billion, up 6.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 7.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $3.26 billion in FY2025 (-1.8%), $3.32 billion in FY2024 (-1.2%), $3.35 billion in FY2023 (+33.9%) and $2.5 billion in FY2022 (+5.1%).
- The five-year range for quarterly Operating Expenses is $585.86 million (fiscal Q2 2022) to $884 million (fiscal Q3 2026).
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 2.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 69.5%), and the weakest in fiscal Q4 2022 (a decline of 48.7%).
- Business Quant data shows PH's Operating Expenses at $884 million (Q3 2026), $837 million (Q2 2026) and $873 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | - |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 874.00 Mn |
| Mar 31, 2026 | 884.00 Mn |
| Dec 31, 2025 | 837.00 Mn |
| Sep 30, 2025 | 873.00 Mn |
| Jun 30, 2025 | 839.00 Mn |
| Mar 31, 2025 | 785.00 Mn |
| Dec 31, 2024 | 782.00 Mn |
| Sep 30, 2024 | 849.00 Mn |
| Jun 30, 2024 | 818.17 Mn |
| Mar 31, 2024 | 816.34 Mn |
| Dec 31, 2023 | 806.80 Mn |
| Sep 30, 2023 | 873.69 Mn |
| Jun 30, 2023 | 834.84 Mn |
| Mar 31, 2023 | 868.39 Mn |
| Dec 31, 2022 | 814.97 Mn |
| Sep 30, 2022 | 835.80 Mn |
| Jun 30, 2022 | 650.96 Mn |
| Mar 31, 2022 | 640.50 Mn |
| Dec 31, 2021 | 585.86 Mn |
| Sep 30, 2021 | 626.75 Mn |
API Access
Parker-Hannifin 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=operating-expenses&ticker=PH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();