Ampco Pittsburgh (AP) Total Current Liabilities (2010 - 2026)
Ampco Pittsburgh (AP) recorded Total Current Liabilities of $139.62 million in Q2 2026, down 0.1% from $139.81 million a year earlier and down 1.7% from the prior quarter.
Ampco Pittsburgh (AP) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Ampco Pittsburgh reported Total Current Liabilities of $130.46 million, up 4.2% from FY2024.
- Annual Total Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $125.22 million in FY2024 (+7.1%), $116.89 million in FY2023 (+0.6%), $116.23 million in FY2022 (-7.1%) and $125.04 million in FY2021 (+18.7%).
- Quarterly Total Current Liabilities has ranged from $116.23 million in Q4 2022 to $142.09 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in seven of the last eight quarters, with growth averaging 6.2%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 18.7% in Q4 2021, against a decline of 7.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $142.09 million (Q1 2026), $130.46 million (Q4 2025) and $135.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Ampco Pittsburgh | 182.23 Mn | 157.47 Mn | 22.24 Mn | 139.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.62 Mn |
| Mar 31, 2026 | 142.09 Mn |
| Dec 31, 2025 | 130.46 Mn |
| Sep 30, 2025 | 135.76 Mn |
| Jun 30, 2025 | 139.81 Mn |
| Mar 31, 2025 | 132.58 Mn |
| Dec 31, 2024 | 125.22 Mn |
| Sep 30, 2024 | 119.74 Mn |
| Jun 30, 2024 | 124.85 Mn |
| Mar 31, 2024 | 125.74 Mn |
| Dec 31, 2023 | 116.89 Mn |
| Sep 30, 2023 | 118.76 Mn |
| Jun 30, 2023 | 125.44 Mn |
| Mar 31, 2023 | 128.20 Mn |
| Dec 31, 2022 | 116.23 Mn |
| Sep 30, 2022 | 119.28 Mn |
| Jun 30, 2022 | 128.76 Mn |
| Mar 31, 2022 | 130.15 Mn |
| Dec 31, 2021 | 125.04 Mn |
| Sep 30, 2021 | 119.73 Mn |
Ampco Pittsburgh Total 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-current-liabilities&ticker=AP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();