Park Ohio Holdings (PKOH) EBITDA (2010 - 2026)
Park Ohio Holdings' EBITDA was $32.9 million in Q2 2026, up 16.3% from $28.3 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Park Ohio Holdings (PKOH) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Park Ohio Holdings' EBITDA was $104.7 million through Jun 30, 2026, down 5.2% year-over-year; for FY2025, it was $99.3 million, down 17.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $120.2 million in FY2024 (+3.8%), $115.8 million in FY2023 (+82.1%), $63.6 million in FY2022 (+35.0%) and $47.1 million in FY2021 (+0.9%).
- Quarterly EBITDA has moved between $4.6 million (Q3 2021) and $34.9 million (Q3 2023) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last eight quarters, with an average decline of 8.9%.
- The best year-over-year quarter for EBITDA over five years was Q3 2022 (growth of 317.4%); the worst was Q3 2021 (a decline of 77.1%).
- Per Business Quant data, PKOH's EBITDA in the three quarters before Q2 2026 was $28 million (Q1 2026), $18.2 million (Q4 2025) and $25.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Park Ohio Holdings | 669.44 Mn | 480.24 Mn | 78.90 Mn | 32.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.90 Mn |
| Mar 31, 2026 | 28.00 Mn |
| Dec 31, 2025 | 18.20 Mn |
| Sep 30, 2025 | 25.60 Mn |
| Jun 30, 2025 | 28.30 Mn |
| Mar 31, 2025 | 27.20 Mn |
| Dec 31, 2024 | 22.80 Mn |
| Sep 30, 2024 | 32.10 Mn |
| Jun 30, 2024 | 32.90 Mn |
| Mar 31, 2024 | 32.40 Mn |
| Dec 31, 2023 | 26.00 Mn |
| Sep 30, 2023 | 34.90 Mn |
| Jun 30, 2023 | 27.00 Mn |
| Mar 31, 2023 | 27.90 Mn |
| Dec 31, 2022 | 10.10 Mn |
| Sep 30, 2022 | 19.20 Mn |
| Jun 30, 2022 | 21.10 Mn |
| Mar 31, 2022 | 13.20 Mn |
| Dec 31, 2021 | 14.30 Mn |
| Sep 30, 2021 | 4.60 Mn |
API Access
Park Ohio Holdings 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=PKOH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "PKOH", "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=PKOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();