Ats (ATS) EBITDA (2022 - 2026)
Ats' EBITDA came in at $36.53 million for fiscal Q2 2027 (quarter ended Sep 27, 2026), down 52.1% from $76.2 million a year earlier and down 7.3% from the prior quarter.
Ats (ATS) EBITDA (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 27, 2026, Ats reported EBITDA of $171.71 million, up 38.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $234.33 million, up 154.3% from FY2025.
- EBITDA carries a three-year compound annual growth rate of -1.5% (FY2023 to FY2026).
- Going back by fiscal year, EBITDA was $92.15 million in FY2025 (-70.9%), $316.66 million in FY2024 (+29.2%) and $245.19 million in FY2023.
- The five-year range for quarterly EBITDA is -$58.82 million (fiscal Q4 2025) to $81.91 million (fiscal Q2 2024).
- Year-over-year, EBITDA increased in two of the last six quarters, with an average decline of 1.2%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q2 2026 (growth of 95.7%), and the weakest in fiscal Q2 2025 (a decline of 52.5%).
- Business Quant data shows ATS's EBITDA at $39.42 million (Q1 2027), $32.69 million (Q4 2026) and $63.07 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Ats | 1.69 Bn | 992.13 Mn | 135.40 Mn | 36.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 36.52 Mn |
| Jun 28, 2026 | 39.42 Mn |
| Mar 31, 2026 | 32.69 Mn |
| Dec 28, 2025 | 63.07 Mn |
| Sep 28, 2025 | 76.20 Mn |
| Jun 29, 2025 | 62.16 Mn |
| Mar 31, 2025 | -58.83 Mn |
| Dec 29, 2024 | 44.73 Mn |
| Sep 29, 2024 | 38.94 Mn |
| Jun 30, 2024 | 70.89 Mn |
| Mar 31, 2024 | 76.53 Mn |
| Dec 31, 2023 | 78.14 Mn |
| Oct 1, 2023 | 81.91 Mn |
| Jul 2, 2023 | 80.10 Mn |
| Mar 31, 2023 | 58.53 Mn |
| Jan 1, 2023 | 57.40 Mn |
| Oct 2, 2022 | 59.36 Mn |
| Jul 3, 2022 | 70.08 Mn |
Ats EBITDA 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=ebitda&ticker=ATS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ATS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();