Alamo (ALG) Total Current Liabilities (2010 - 2026)
Alamo (ALG) recorded Total Current Liabilities of $226.09 million in Q2 2026, up 9.3% from $206.91 million a year earlier but down 0.8% from the prior quarter.
Alamo (ALG) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Alamo reported Total Current Liabilities of $218.37 million, up 14.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $190.31 million in FY2024 (-11.0%), $213.93 million in FY2023 (+12.3%), $190.51 million in FY2022 (-1.1%) and $192.56 million in FY2021 (+22.4%).
- Quarterly Total Current Liabilities has ranged from $189.62 million in Q2 2022 to $227.83 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for four consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 24.1% in Q3 2021, against a decline of 11.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $227.83 million (Q1 2026), $218.37 million (Q4 2025) and $221.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | - |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Alamo | 1.92 Bn | 979.51 Mn | 110.86 Mn | 226.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.09 Mn |
| Mar 31, 2026 | 227.83 Mn |
| Dec 31, 2025 | 218.37 Mn |
| Sep 30, 2025 | 221.07 Mn |
| Jun 30, 2025 | 206.91 Mn |
| Mar 31, 2025 | 211.72 Mn |
| Dec 31, 2024 | 190.31 Mn |
| Sep 30, 2024 | 212.02 Mn |
| Jun 30, 2024 | 207.56 Mn |
| Mar 31, 2024 | 213.36 Mn |
| Dec 31, 2023 | 213.93 Mn |
| Sep 30, 2023 | 219.33 Mn |
| Jun 30, 2023 | 214.85 Mn |
| Mar 31, 2023 | 204.25 Mn |
| Dec 31, 2022 | 190.51 Mn |
| Sep 30, 2022 | 192.93 Mn |
| Jun 30, 2022 | 189.62 Mn |
| Mar 31, 2022 | 198.52 Mn |
| Dec 31, 2021 | 192.56 Mn |
| Sep 30, 2021 | 195.73 Mn |
Alamo 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=ALG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();