Astec Industries (ASTE) Operating Expenses (2009 - 2026)
Astec Industries' Operating Expenses came in at $86.4 million for Q2 2026, up 29.1% from $66.9 million a year earlier but down 4.2% from the prior quarter.
Astec Industries (ASTE) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Astec Industries reported Operating Expenses of $346.1 million, up 23.2% year-over-year; for FY2025, it came in at $308.3 million, up 8.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $284.5 million in FY2024 (+0.8%), $282.2 million in FY2023 (-2.0%), $288.1 million in FY2022 (+12.5%) and $256.1 million in FY2021 (+29.9%).
- The five-year range for quarterly Operating Expenses is $55.6 million (Q3 2021) to $90.2 million (Q1 2026).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 10.6% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 120.5%), and the weakest in Q4 2022 (a decline of 11.4%).
- Business Quant data shows ASTE's Operating Expenses at $90.2 million (Q1 2026), $86.4 million (Q4 2025) and $83.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Astec Industries | 945.31 Mn | 643.91 Mn | 106.80 Mn | 86.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.40 Mn |
| Mar 31, 2026 | 90.20 Mn |
| Dec 31, 2025 | 86.40 Mn |
| Sep 30, 2025 | 83.10 Mn |
| Jun 30, 2025 | 66.90 Mn |
| Mar 31, 2025 | 71.90 Mn |
| Dec 31, 2024 | 68.10 Mn |
| Sep 30, 2024 | 74.00 Mn |
| Jun 30, 2024 | 71.80 Mn |
| Mar 31, 2024 | 70.60 Mn |
| Dec 31, 2023 | 70.20 Mn |
| Sep 30, 2023 | 74.80 Mn |
| Jun 30, 2023 | 65.60 Mn |
| Mar 31, 2023 | 71.60 Mn |
| Dec 31, 2022 | 76.20 Mn |
| Sep 30, 2022 | 72.10 Mn |
| Jun 30, 2022 | 72.10 Mn |
| Mar 31, 2022 | 67.70 Mn |
| Dec 31, 2021 | 86.00 Mn |
| Sep 30, 2021 | 55.60 Mn |
Astec Industries 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=ASTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ASTE", "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=ASTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();