Parker-Hannifin (PH) EBITDA (2009 - 2026)
Parker-Hannifin's EBITDA was $1.61 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.3% from $1.35 billion a year earlier and up 17.7% from the prior quarter.
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Analysis
Parker-Hannifin (PH) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBITDA at Parker-Hannifin came in at $5.57 billion, up 12.2% from FY2025.
- EBITDA has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 13.5% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $4.97 billion in FY2025 (+4.8%), $4.74 billion in FY2024 (+21.8%), $3.89 billion in FY2023 (+15.2%) and $3.38 billion in FY2022 (+14.3%).
- The fiscal Q4 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q3 2009.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 8.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2024 (growth of 47.8%); the worst was fiscal Q1 2023 (a decline of 2.8%).
- Per Business Quant data, PH's EBITDA in the three fiscal quarters before Q4 2026 was $1.37 billion (Q3 2026), $1.33 billion (Q2 2026) and $1.27 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Cummins | 71.78 Bn | 68.92 Bn | 2.47 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.27 Bn |
| Jun 30, 2025 | 1.35 Bn |
| Mar 31, 2025 | 1.27 Bn |
| Dec 31, 2024 | 1.17 Bn |
| Sep 30, 2024 | 1.19 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.21 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.12 Bn |
| Jun 30, 2023 | 1.21 Bn |
| Mar 31, 2023 | 1.08 Bn |
| Dec 31, 2022 | 852.78 Mn |
| Sep 30, 2022 | 755.50 Mn |
| Jun 30, 2022 | 907.39 Mn |
| Mar 31, 2022 | 879.18 Mn |
| Dec 31, 2021 | 815.23 Mn |
| Sep 30, 2021 | 777.20 Mn |
API Access
Parker-Hannifin EBITDA 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=ebitda&ticker=PH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();