Ametek (AME) Total Non-Current Liabilities (2009 - 2026)
Ametek's Total Non-Current Liabilities was $9.91 billion in Q3 2026, up 101.1% from $4.93 billion a year earlier and up 115.9% from the prior quarter.
Ametek (AME) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ametek came in at $4.71 billion, up 8.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $4.35 billion in FY2024 (-22.4%), $5.61 billion in FY2023 (+27.1%), $4.42 billion in FY2022 (-2.1%) and $4.51 billion in FY2021 (+16.0%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for five straight quarters, with growth averaging 10.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2026 (growth of 101.1%); the worst was Q4 2024 (a decline of 22.4%).
- Per Business Quant data, AME's Total Non-Current Liabilities in the three quarters before Q3 2026 was $4.59 billion (Q2 2026), $4.66 billion (Q1 2026) and $4.71 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Ametek | 54.65 Bn | 52.55 Bn | 810.43 Mn | 9.91 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.91 Bn |
| Jun 30, 2026 | 4.59 Bn |
| Mar 31, 2026 | 4.66 Bn |
| Dec 31, 2025 | 4.71 Bn |
| Sep 30, 2025 | 4.93 Bn |
| Jun 30, 2025 | 4.21 Bn |
| Mar 31, 2025 | 4.27 Bn |
| Dec 31, 2024 | 4.35 Bn |
| Sep 30, 2024 | 4.52 Bn |
| Jun 30, 2024 | 4.85 Bn |
| Mar 31, 2024 | 5.22 Bn |
| Dec 31, 2023 | 5.61 Bn |
| Sep 30, 2023 | 4.16 Bn |
| Jun 30, 2023 | 4.18 Bn |
| Mar 31, 2023 | 4.30 Bn |
| Dec 31, 2022 | 4.42 Bn |
| Sep 30, 2022 | 4.37 Bn |
| Jun 30, 2022 | 4.49 Bn |
| Mar 31, 2022 | 4.51 Bn |
| Dec 31, 2021 | 4.51 Bn |
Ametek 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=AME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AME", "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=AME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();