Alamo (ALG) Amortization of Intangibles (2009 - 2026)
Alamo (ALG) reported Amortization of Intangibles of $5.1 million for Q3 2026, up 21.1% from $4.21 million a year earlier and up 1.7% from the prior quarter.
Alamo (ALG) Amortization of Intangibles (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Alamo's Amortization of Intangibles came in at $19.23 million, up 17.3% year-over-year; for FY2025, it came in at $16.55 million, up 2.0% from FY2024.
- Amortization of Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- By year, Amortization of Intangibles came in at $16.23 million in FY2024 (+4.6%), $15.52 million in FY2023 (+1.6%), $15.28 million in FY2022 (+4.4%) and $14.64 million in FY2021 (-0.7%).
- The Q3 2026 figure ranks as the highest quarterly Amortization of Intangibles in data going back to Q3 2010.
- Year over year, Amortization of Intangibles has now increased in each of the last five quarters, with growth averaging 8.8% over the last eight quarters.
- The high point for year-over-year Amortization of Intangibles in five years was Q2 2026 (growth of 22.3%); the low point was Q1 2023 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $5.02 million (Q2 2026), $4.9 million (Q1 2026) and $4.21 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | - |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 189.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | - |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 16.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 68.10 Mn |
| 10 | Alamo | 1.69 Bn | 763.54 Mn | 76.12 Mn | 5.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.10 Mn |
| Jun 30, 2026 | 5.02 Mn |
| Mar 31, 2026 | 4.90 Mn |
| Dec 31, 2025 | 4.21 Mn |
| Sep 30, 2025 | 4.21 Mn |
| Jun 30, 2025 | 4.10 Mn |
| Mar 31, 2025 | 4.05 Mn |
| Dec 31, 2024 | 4.03 Mn |
| Sep 30, 2024 | 4.10 Mn |
| Jun 30, 2024 | 4.10 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | 4.02 Mn |
| Sep 30, 2023 | 3.83 Mn |
| Jun 30, 2023 | 3.82 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 3.78 Mn |
| Sep 30, 2022 | 3.80 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 3.90 Mn |
| Dec 31, 2021 | 3.64 Mn |
Alamo Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=ALG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();