Alamo (ALG) Accumulated Expenses (2010 - 2026)
Alamo (ALG) posted Accumulated Expenses of $69.31 million for Q2 2026, down 8.9% from $76.11 million a year earlier but up 1.2% from the prior quarter.
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Analysis
Alamo (ALG) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Alamo's Accumulated Expenses came in at $75.91 million, down 2.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- In prior years, Alamo's Accumulated Expenses was $77.54 million in FY2024 (-10.6%), $86.71 million in FY2023 (+21.5%), $71.37 million in FY2022 (-2.9%) and $73.52 million in FY2021 (+13.8%).
- Quarterly Accumulated Expenses has run from a low of $66.1 million in Q2 2022 to a high of $86.71 million in Q4 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last seven quarters, with an average decline of 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2023, with growth of 21.5%; the weakest was Q4 2024, with a decline of 10.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $68.47 million (Q1 2026), $75.91 million (Q4 2025) and $76.77 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Alamo | 1.88 Bn | 934.58 Mn | 110.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.31 Mn |
| Mar 31, 2026 | 68.47 Mn |
| Dec 31, 2025 | 75.91 Mn |
| Sep 30, 2025 | 76.77 Mn |
| Jun 30, 2025 | 76.11 Mn |
| Mar 31, 2025 | 73.01 Mn |
| Dec 31, 2024 | 77.54 Mn |
| Sep 30, 2024 | 84.06 Mn |
| Jun 30, 2024 | 76.77 Mn |
| Mar 31, 2024 | 77.35 Mn |
| Dec 31, 2023 | 86.71 Mn |
| Sep 30, 2023 | 79.68 Mn |
| Jun 30, 2023 | 72.27 Mn |
| Mar 31, 2023 | 72.89 Mn |
| Dec 31, 2022 | 71.37 Mn |
| Sep 30, 2022 | 71.82 Mn |
| Jun 30, 2022 | 66.10 Mn |
| Mar 31, 2022 | 68.32 Mn |
| Dec 31, 2021 | 73.52 Mn |
| Sep 30, 2021 | 67.18 Mn |
API Access
Alamo Accumulated Expenses 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=accumulated-expenses&ticker=ALG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();