Ampco Pittsburgh (AP) Total Non-Current Liabilities (2010 - 2026)
Ampco Pittsburgh (AP) recorded Total Non-Current Liabilities of $285.59 million in Q2 2026, down 1.8% from $290.69 million a year earlier but up 0.3% from the prior quarter.
Ampco Pittsburgh (AP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ampco Pittsburgh reported Total Non-Current Liabilities of $277.06 million, up 0.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $276.71 million in FY2024 (-1.0%), $279.4 million in FY2023 (+7.6%), $259.55 million in FY2022 (+9.7%) and $236.51 million in FY2021 (+13.4%).
- Quarterly Total Non-Current Liabilities has ranged from $231.35 million in Q3 2021 to $290.8 million in Q1 2024 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in five of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 14.9% in Q1 2023, against a decline of 3.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $284.66 million (Q1 2026), $277.06 million (Q4 2025) and $287.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Ampco Pittsburgh | 182.23 Mn | 157.47 Mn | 22.24 Mn | 285.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 285.59 Mn |
| Mar 31, 2026 | 284.66 Mn |
| Dec 31, 2025 | 277.06 Mn |
| Sep 30, 2025 | 287.62 Mn |
| Jun 30, 2025 | 290.69 Mn |
| Mar 31, 2025 | 282.21 Mn |
| Dec 31, 2024 | 276.71 Mn |
| Sep 30, 2024 | 277.67 Mn |
| Jun 30, 2024 | 288.51 Mn |
| Mar 31, 2024 | 290.80 Mn |
| Dec 31, 2023 | 279.40 Mn |
| Sep 30, 2023 | 277.48 Mn |
| Jun 30, 2023 | 279.22 Mn |
| Mar 31, 2023 | 273.26 Mn |
| Dec 31, 2022 | 259.55 Mn |
| Sep 30, 2022 | 242.40 Mn |
| Jun 30, 2022 | 248.37 Mn |
| Mar 31, 2022 | 237.79 Mn |
| Dec 31, 2021 | 236.51 Mn |
| Sep 30, 2021 | 231.35 Mn |
Ampco Pittsburgh 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=AP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AP", "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=AP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();