Alamo (ALG) Capital Expenditures (2010 - 2026)
Alamo's Capital Expenditures came in at $5.81 million for Q2 2026, down 16.5% from $6.96 million a year earlier but up 29.0% from the prior quarter.
Alamo (ALG) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alamo reported Capital Expenditures of $27.98 million, up 4.0% year-over-year; for FY2025, it was $30.63 million, up 22.5% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $24.99 million in FY2024 (-33.8%), $37.75 million in FY2023 (+21.2%), $31.14 million in FY2022 (+23.3%) and $25.26 million in FY2021 (+41.3%).
- The five-year range for quarterly Capital Expenditures is $4.36 million (Q1 2022) to $12.43 million (Q3 2025).
- Year-over-year, Capital Expenditures has declined for three consecutive quarters, with an average decline of 0.4% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 266.7%), and the weakest in Q2 2024 (a decline of 52.3%).
- Business Quant data shows ALG's Capital Expenditures at $4.51 million (Q1 2026), $5.23 million (Q4 2025) and $12.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 587.00 Mn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 355.50 Mn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 638.00 Mn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 253.00 Mn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 173.00 Mn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 173.30 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 102.00 Mn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 223.00 Mn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 92.00 Mn |
| 10 | Alamo | 1.92 Bn | 979.51 Mn | 110.86 Mn | 5.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.81 Mn |
| Mar 31, 2026 | 4.51 Mn |
| Dec 31, 2025 | 5.23 Mn |
| Sep 30, 2025 | 12.43 Mn |
| Jun 30, 2025 | 6.96 Mn |
| Mar 31, 2025 | 6.01 Mn |
| Dec 31, 2024 | 6.01 Mn |
| Sep 30, 2024 | 7.93 Mn |
| Jun 30, 2024 | 4.41 Mn |
| Mar 31, 2024 | 6.65 Mn |
| Dec 31, 2023 | 10.69 Mn |
| Sep 30, 2023 | 8.81 Mn |
| Jun 30, 2023 | 9.24 Mn |
| Mar 31, 2023 | 9.00 Mn |
| Dec 31, 2022 | 7.64 Mn |
| Sep 30, 2022 | 8.53 Mn |
| Jun 30, 2022 | 10.61 Mn |
| Mar 31, 2022 | 4.36 Mn |
| Dec 31, 2021 | 10.68 Mn |
| Sep 30, 2021 | 5.23 Mn |
Alamo Capital Expenditures 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=capital-expenditures&ticker=ALG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();