Ats (ATS) EBITDA (2022 - 2026)
Ats' EBITDA came in at $39.42 million for the quarter ended Jun 28, 2026, down 36.6% from $62.16 million a year earlier but up 20.6% from the prior quarter.
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Analysis
Ats (ATS) EBITDA (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Ats reported EBITDA of $211.38 million, up 143.0% year-over-year; for the year ended Mar 31, 2026, it was $212.51 million, up 138.0% from the prior year.
- EBITDA carries a three-year compound annual growth rate of -3.9% (years ended Mar 2023 to Mar 2026).
- Going back by year, EBITDA was $89.28 million in the year ended Mar 31, 2025 (-71.8%), $316.81 million in the year ended Mar 31, 2024 (+32.2%) and $239.6 million in the year ended Mar 31, 2023.
- The five-year range for quarterly EBITDA is -$58.82 million (the quarter ended Mar 31, 2025) to $81.91 million (the quarter ended Oct 1, 2023).
- 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 the quarter ended Sep 28, 2025 (growth of 95.7%), and the weakest in the quarter ended Sep 29, 2024 (a decline of 52.5%).
- Business Quant data shows ATS's EBITDA at $32.69 million (quarter ended Mar 31, 2026), $63.07 million (quarter ended Dec 28, 2025) and $76.2 million (quarter ended Sep 28, 2025) in the three quarters before the quarter ended Jun 28, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Ats | 1.85 Bn | 1.16 Bn | 137.42 Mn | 39.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 | -58.82 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 |
API Access
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_KEYimport 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();