Alamo (ALG) Other Operating Expenses (2023 - 2025)
Alamo (ALG) posted Other Operating Expenses of -$327.02 million for Q3 2026, compared with -$318.36 million a year earlier.
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Analysis
Alamo (ALG) Other Operating Expenses (2023 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Other Operating Expenses at Alamo was -$1.27 billion; for FY2025, it came in at -$1.21 billion.
- In prior years, Alamo's Other Operating Expenses was -$1.22 billion in FY2024, -$1.24 billion in FY2023, -$1.14 billion in FY2022 and -$999.71 million in FY2021.
- Quarterly Other Operating Expenses has run from a low of -$339.88 million in Q2 2026 to a high of -$253.52 million in Q4 2021 over five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$339.88 million (Q2 2026), -$312.34 million (Q1 2026) and -$288.65 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | Alamo | 1.69 Bn | 763.54 Mn | 76.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 63.75 Mn |
| Dec 31, 2024 | 70.90 Mn |
| Dec 31, 2023 | 186.14 Mn |
API Access
Alamo Other Operating 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=other-operating-expenses&ticker=ALG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=ALG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();