Park Ohio Holdings (PKOH) Total Non-Current Liabilities (2010 - 2026)
Park Ohio Holdings' Total Non-Current Liabilities was $703.7 million in Q2 2026, down 0.8% from $709.2 million a year earlier but up 1.6% from the prior quarter.
Park Ohio Holdings (PKOH) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Park Ohio Holdings came in at $670.2 million, up 0.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $666.9 million in FY2024 (-3.0%), $687.2 million in FY2023 (-4.6%), $720.1 million in FY2022 (+4.9%) and $686.2 million in FY2021 (+8.0%).
- Quarterly Total Non-Current Liabilities has moved between $666.9 million (Q4 2024) and $763 million (Q3 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last eight quarters, with an average decline of 1.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2022 (growth of 11.7%); the worst was Q3 2023 (a decline of 5.9%).
- Per Business Quant data, PKOH's Total Non-Current Liabilities in the three quarters before Q2 2026 was $692.9 million (Q1 2026), $670.2 million (Q4 2025) and $711 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 26.86 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Park Ohio Holdings | 642.04 Mn | 451.44 Mn | 78.90 Mn | 703.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 703.70 Mn |
| Mar 31, 2026 | 692.90 Mn |
| Dec 31, 2025 | 670.20 Mn |
| Sep 30, 2025 | 711.00 Mn |
| Jun 30, 2025 | 709.20 Mn |
| Mar 31, 2025 | 696.20 Mn |
| Dec 31, 2024 | 666.90 Mn |
| Sep 30, 2024 | 702.30 Mn |
| Jun 30, 2024 | 721.70 Mn |
| Mar 31, 2024 | 711.50 Mn |
| Dec 31, 2023 | 687.20 Mn |
| Sep 30, 2023 | 717.80 Mn |
| Jun 30, 2023 | 733.50 Mn |
| Mar 31, 2023 | 723.10 Mn |
| Dec 31, 2022 | 720.10 Mn |
| Sep 30, 2022 | 763.00 Mn |
| Jun 30, 2022 | 745.00 Mn |
| Mar 31, 2022 | 714.30 Mn |
| Dec 31, 2021 | 686.20 Mn |
| Sep 30, 2021 | 702.30 Mn |
Park Ohio Holdings Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PKOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PKOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();