Alamo (ALG) EBITDA (2010 - 2026)
Alamo's EBITDA was $57.3 million in Q2 2026, down 1.2% from $58.02 million a year earlier but up 6.5% from the prior quarter.
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Analysis
Alamo (ALG) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Alamo's EBITDA was $193.26 million through Jun 30, 2026, down 7.7% year-over-year; for FY2025, it was $195.24 million, down 6.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In earlier years, EBITDA was $207.9 million in FY2024 (-12.3%), $237.15 million in FY2023 (+26.5%), $187.54 million in FY2022 (+22.7%) and $152.8 million in FY2021 (+18.6%).
- Quarterly EBITDA has moved between $33.68 million (Q4 2025) and $63.97 million (Q2 2023) over five years.
- Compared with a year earlier, EBITDA has declined for four straight quarters, with an average decline of 8.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q1 2023 (growth of 52.6%); the worst was Q4 2025 (a decline of 25.7%).
- Per Business Quant data, ALG's EBITDA in the three quarters before Q2 2026 was $53.78 million (Q1 2026), $33.68 million (Q4 2025) and $48.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 380.10 Bn | 351.79 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.03 Bn | 202.73 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 183.47 Bn | 192.23 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 168.26 Bn | 165.49 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.34 Bn | 120.47 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 95.63 Bn | 86.25 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 87.72 Bn | 80.47 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 86.87 Bn | 68.33 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 76.08 Bn | 72.64 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Alamo | 1.92 Bn | 979.51 Mn | 110.86 Mn | 57.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.30 Mn |
| Mar 31, 2026 | 53.78 Mn |
| Dec 31, 2025 | 33.68 Mn |
| Sep 30, 2025 | 48.50 Mn |
| Jun 30, 2025 | 58.02 Mn |
| Mar 31, 2025 | 55.07 Mn |
| Dec 31, 2024 | 45.31 Mn |
| Sep 30, 2024 | 50.93 Mn |
| Jun 30, 2024 | 54.11 Mn |
| Mar 31, 2024 | 57.66 Mn |
| Dec 31, 2023 | 55.28 Mn |
| Sep 30, 2023 | 59.51 Mn |
| Jun 30, 2023 | 63.97 Mn |
| Mar 31, 2023 | 58.36 Mn |
| Dec 31, 2022 | 53.86 Mn |
| Sep 30, 2022 | 45.30 Mn |
| Jun 30, 2022 | 50.13 Mn |
| Mar 31, 2022 | 38.26 Mn |
| Dec 31, 2021 | 36.94 Mn |
| Sep 30, 2021 | 39.00 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();