Alamo (ALG) Total Non-Current Liabilities (2010 - 2026)
Alamo (ALG) reported Total Non-Current Liabilities of $511.37 million for Q2 2026, up 22.8% from $416.28 million a year earlier but down 3.4% from the prior quarter.
Alamo (ALG) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Alamo posted Total Non-Current Liabilities of $433.8 million, up 6.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $407.41 million in FY2024 (-10.1%), $452.93 million in FY2023 (-9.3%), $499.48 million in FY2022 (+5.6%) and $472.96 million in FY2021 (+4.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $407.41 million in Q4 2024 and a high of $584.93 million in Q1 2022.
- Year over year, Total Non-Current Liabilities has now increased in each of the last four quarters, with an average decline of 1.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 25.1%); the low point was Q1 2025 (a decline of 21.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $529.56 million (Q1 2026), $433.8 million (Q4 2025) and $437.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Alamo | 1.92 Bn | 979.51 Mn | 110.86 Mn | 511.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 511.37 Mn |
| Mar 31, 2026 | 529.56 Mn |
| Dec 31, 2025 | 433.80 Mn |
| Sep 30, 2025 | 437.95 Mn |
| Jun 30, 2025 | 416.28 Mn |
| Mar 31, 2025 | 423.43 Mn |
| Dec 31, 2024 | 407.41 Mn |
| Sep 30, 2024 | 434.74 Mn |
| Jun 30, 2024 | 502.29 Mn |
| Mar 31, 2024 | 538.53 Mn |
| Dec 31, 2023 | 452.93 Mn |
| Sep 30, 2023 | 545.61 Mn |
| Jun 30, 2023 | 569.01 Mn |
| Mar 31, 2023 | 583.24 Mn |
| Dec 31, 2022 | 499.48 Mn |
| Sep 30, 2022 | 565.94 Mn |
| Jun 30, 2022 | 571.29 Mn |
| Mar 31, 2022 | 584.93 Mn |
| Dec 31, 2021 | 472.96 Mn |
| Sep 30, 2021 | 498.02 Mn |
Alamo 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=ALG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ALG", "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=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();