Alamo (ALG) Total Liabilities (2010 - 2026)
Alamo (ALG) recorded Total Liabilities of $535.49 million in Q2 2026, up 21.1% from $442.25 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Alamo (ALG) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Alamo reported Total Liabilities of $457.91 million, up 6.0% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $432.03 million in FY2024 (-9.4%), $476.62 million in FY2023 (-8.9%), $523.15 million in FY2022 (+4.6%) and $500.08 million in FY2021 (+2.7%).
- Quarterly Total Liabilities has ranged from $432.03 million in Q4 2024 to $610.84 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 23.9% in Q1 2026, against a decline of 20.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $554.52 million (Q1 2026), $457.91 million (Q4 2025) and $462.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Alamo | 1.92 Bn | 979.51 Mn | 110.86 Mn | 535.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 535.49 Mn |
| Mar 31, 2026 | 554.52 Mn |
| Dec 31, 2025 | 457.91 Mn |
| Sep 30, 2025 | 462.37 Mn |
| Jun 30, 2025 | 442.25 Mn |
| Mar 31, 2025 | 447.63 Mn |
| Dec 31, 2024 | 432.03 Mn |
| Sep 30, 2024 | 463.62 Mn |
| Jun 30, 2024 | 526.25 Mn |
| Mar 31, 2024 | 562.86 Mn |
| Dec 31, 2023 | 476.62 Mn |
| Sep 30, 2023 | 567.78 Mn |
| Jun 30, 2023 | 591.82 Mn |
| Mar 31, 2023 | 606.86 Mn |
| Dec 31, 2022 | 523.15 Mn |
| Sep 30, 2022 | 590.76 Mn |
| Jun 30, 2022 | 595.93 Mn |
| Mar 31, 2022 | 610.84 Mn |
| Dec 31, 2021 | 500.08 Mn |
| Sep 30, 2021 | 526.12 Mn |
API Access
Alamo Total 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-liabilities&ticker=ALG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();