Alta Equipment (ALTG) Operating Expenses (2019 - 2026)
Alta Equipment's Operating Expenses came in at $112.2 million for Q2 2026, up 2.1% from $109.9 million a year earlier but down 2.4% from the prior quarter.
Alta Equipment (ALTG) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Alta Equipment reported Operating Expenses of $454.5 million, down 0.3% year-over-year; for FY2025, it came in at $451.4 million, down 5.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $475.1 million in FY2024 (+4.9%), $452.8 million in FY2023 (+19.5%), $378.8 million in FY2022 (+27.8%) and $296.4 million in FY2021 (+33.2%).
- The five-year range for quarterly Operating Expenses is $75.1 million (Q3 2021) to $121.7 million (Q2 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 2.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 30.4%), and the weakest in Q2 2025 (a decline of 9.7%).
- Business Quant data shows ALTG's Operating Expenses at $115 million (Q1 2026), $114.3 million (Q4 2025) and $113 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Alta Equipment | 188.48 Mn | 110.98 Mn | 124.20 Mn | 112.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.20 Mn |
| Mar 31, 2026 | 115.00 Mn |
| Dec 31, 2025 | 114.30 Mn |
| Sep 30, 2025 | 113.00 Mn |
| Jun 30, 2025 | 109.90 Mn |
| Mar 31, 2025 | 114.20 Mn |
| Dec 31, 2024 | 114.10 Mn |
| Sep 30, 2024 | 117.80 Mn |
| Jun 30, 2024 | 121.70 Mn |
| Mar 31, 2024 | 121.50 Mn |
| Dec 31, 2023 | 120.80 Mn |
| Sep 30, 2023 | 112.20 Mn |
| Jun 30, 2023 | 110.60 Mn |
| Mar 31, 2023 | 109.20 Mn |
| Dec 31, 2022 | 101.30 Mn |
| Sep 30, 2022 | 97.90 Mn |
| Jun 30, 2022 | 92.80 Mn |
| Mar 31, 2022 | 86.80 Mn |
| Dec 31, 2021 | 80.80 Mn |
| Sep 30, 2021 | 75.10 Mn |
Alta Equipment 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=operating-expenses&ticker=ALTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALTG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ALTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();