Ats (ATS) Operating Expenses (2022 - 2026)
Ats (ATS) posted Operating Expenses of $115.52 million for the quarter ended Jun 28, 2026, up 4.2% from $110.85 million a year earlier but down 10.8% from the prior quarter.
Ats (ATS) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Ats was $470.24 million, up 1.5% year-over-year; for the year ended Mar 31, 2026, it was $469.17 million, up 7.2% from the prior year.
- Annual Operating Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 10.3% (years ended Mar 2023 to Mar 2026).
- In prior years, Ats' Operating Expenses was $437.81 million in the year ended Mar 31, 2025 (+12.1%), $390.59 million in the year ended Mar 31, 2024 (+11.7%) and $349.68 million in the year ended Mar 31, 2023.
- Quarterly Operating Expenses has run from a low of $79.04 million in the quarter ended Oct 2, 2022 to a high of $129.57 million in the quarter ended Mar 31, 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was the quarter ended Sep 29, 2024, with growth of 25.2%; the weakest was the quarter ended Sep 28, 2025, with a decline of 4.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $129.57 million (quarter ended Mar 31, 2026), $116.58 million (quarter ended Dec 28, 2025) and $108.58 million (quarter ended Sep 28, 2025).
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 | Ats | 1.85 Bn | 1.16 Bn | 137.42 Mn | 115.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 115.52 Mn |
| Mar 31, 2026 | 129.57 Mn |
| Dec 28, 2025 | 116.58 Mn |
| Sep 28, 2025 | 108.58 Mn |
| Jun 29, 2025 | 110.85 Mn |
| Mar 31, 2025 | 123.88 Mn |
| Dec 29, 2024 | 114.44 Mn |
| Sep 29, 2024 | 113.90 Mn |
| Jun 30, 2024 | 98.95 Mn |
| Mar 31, 2024 | 111.53 Mn |
| Dec 31, 2023 | 95.79 Mn |
| Oct 1, 2023 | 90.94 Mn |
| Jul 2, 2023 | 92.10 Mn |
| Mar 31, 2023 | 103.33 Mn |
| Jan 1, 2023 | 86.76 Mn |
| Oct 2, 2022 | 79.04 Mn |
| Jul 3, 2022 | 87.88 Mn |
Ats 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=ATS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ATS", "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=ATS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();