Park Ohio Holdings (PKOH) Restructuring Costs (2010 - 2026)
Park Ohio Holdings (PKOH) posted Restructuring Costs of $1.3 million for Q2 2026, unchanged from $1.3 million a year earlier and unchanged from the prior quarter.
Park Ohio Holdings (PKOH) Restructuring Costs (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Park Ohio Holdings was $6.7 million, up 17.5% year-over-year; for FY2025, it came in at $6.4 million, up 30.6% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- In prior years, Park Ohio Holdings' Restructuring Costs was $4.9 million in FY2024 (-25.8%), $6.6 million in FY2023 (-61.8%), $17.3 million in FY2022 (-15.2%) and $20.4 million in FY2021 (+209.1%).
- Quarterly Restructuring Costs has run from a low of $300,000 in Q1 2024 to a high of $7.4 million in Q4 2022 over five years.
- On a year-over-year basis, Restructuring Costs increased in four of the last six quarters, with growth averaging 72.5%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q1 2025, with growth of 233.3%; the weakest was Q1 2024, with a decline of 88.0%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $1.3 million (Q1 2026), $1.3 million (Q4 2025) and $2.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn |
| 10 | Park Ohio Holdings | 642.04 Mn | 451.44 Mn | 78.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.30 Mn |
| Mar 31, 2026 | 1.30 Mn |
| Dec 31, 2025 | 1.30 Mn |
| Sep 30, 2025 | 2.80 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 900,000.00 |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 300,000.00 |
| Jun 30, 2023 | 4.10 Mn |
| Mar 31, 2023 | 2.50 Mn |
| Dec 31, 2022 | 7.40 Mn |
| Sep 30, 2022 | 4.30 Mn |
| Jun 30, 2022 | 2.30 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Sep 30, 2011 | 5.40 Mn |
| Sep 30, 2010 | 3.54 Mn |
Park Ohio Holdings Restructuring Costs 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=restructuring-costs&ticker=PKOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PKOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();