Alamo (ALG) EBITDA (2009 - 2026)
Alamo's EBITDA was $14.99 million in Q3 2026, down 69.2% from $48.67 million a year earlier and down 73.9% from the prior quarter.
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Analysis
Alamo (ALG) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alamo's EBITDA was $160.27 million through Sep 30, 2026, down 22.8% year-over-year; for FY2025, it was $195.95 million, down 6.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $208.6 million in FY2024 (-12.3%), $237.85 million in FY2023 (+26.4%), $188.21 million in FY2022 (+22.6%) and $153.47 million in FY2021 (+18.6%).
- The Q3 2026 figure marks the lowest quarterly EBITDA since Q4 2015.
- Compared with a year earlier, EBITDA has declined for five straight quarters, with an average decline of 14.8% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 52.4%); the worst was Q3 2026 (a decline of 69.2%).
- Per Business Quant data, ALG's EBITDA in the three quarters before Q3 2026 was $57.47 million (Q2 2026), $53.96 million (Q1 2026) and $33.86 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Alamo | 1.69 Bn | 763.54 Mn | 76.12 Mn | 14.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.99 Mn |
| Jun 30, 2026 | 57.47 Mn |
| Mar 31, 2026 | 53.96 Mn |
| Dec 31, 2025 | 33.86 Mn |
| Sep 30, 2025 | 48.67 Mn |
| Jun 30, 2025 | 58.19 Mn |
| Mar 31, 2025 | 55.25 Mn |
| Dec 31, 2024 | 45.48 Mn |
| Sep 30, 2024 | 51.10 Mn |
| Jun 30, 2024 | 54.28 Mn |
| Mar 31, 2024 | 57.84 Mn |
| Dec 31, 2023 | 55.45 Mn |
| Sep 30, 2023 | 59.69 Mn |
| Jun 30, 2023 | 64.14 Mn |
| Mar 31, 2023 | 58.54 Mn |
| Dec 31, 2022 | 54.03 Mn |
| Sep 30, 2022 | 45.47 Mn |
| Jun 30, 2022 | 50.30 Mn |
| Mar 31, 2022 | 38.42 Mn |
| Dec 31, 2021 | 37.10 Mn |
API Access
Alamo EBITDA 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=ebitda&ticker=ALG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();