Park Ohio Holdings (PKOH) Selling, General & Administrative (2010 - 2026)
Park Ohio Holdings' Selling, General & Administrative was $53.1 million in Q2 2026, up 13.5% from $46.8 million a year earlier and up 2.7% from the prior quarter.
Park Ohio Holdings (PKOH) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Park Ohio Holdings' Selling, General & Administrative was $199.4 million through Jun 30, 2026, up 6.1% year-over-year; for FY2025, it was $189.6 million, up 1.2% from FY2024.
- Selling, General & Administrative has now increased for five consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $187.4 million in FY2024 (+3.3%), $181.5 million in FY2023 (+11.9%), $162.2 million in FY2022 (+4.0%) and $155.9 million in FY2021 (+11.2%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2022 (growth of 61.9%); the worst was Q3 2022 (a decline of 19.1%).
- Per Business Quant data, PKOH's Selling, General & Administrative in the three quarters before Q2 2026 was $51.7 million (Q1 2026), $48.1 million (Q4 2025) and $46.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Park Ohio Holdings | 686.39 Mn | 497.19 Mn | 78.90 Mn | 53.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.10 Mn |
| Mar 31, 2026 | 51.70 Mn |
| Dec 31, 2025 | 48.10 Mn |
| Sep 30, 2025 | 46.50 Mn |
| Jun 30, 2025 | 46.80 Mn |
| Mar 31, 2025 | 48.20 Mn |
| Dec 31, 2024 | 45.10 Mn |
| Sep 30, 2024 | 47.80 Mn |
| Jun 30, 2024 | 47.40 Mn |
| Mar 31, 2024 | 47.10 Mn |
| Dec 31, 2023 | 46.40 Mn |
| Sep 30, 2023 | 43.00 Mn |
| Jun 30, 2023 | 46.80 Mn |
| Mar 31, 2023 | 45.30 Mn |
| Dec 31, 2022 | 45.00 Mn |
| Sep 30, 2022 | 36.50 Mn |
| Jun 30, 2022 | 40.50 Mn |
| Mar 31, 2022 | 40.20 Mn |
| Dec 31, 2021 | 27.80 Mn |
| Sep 30, 2021 | 45.10 Mn |
Park Ohio Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=PKOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PKOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();