Ats (ATS) Cash & Equivalents (2023 - 2026)
Ats' Cash & Equivalents was $143.92 million in the quarter ended Jun 28, 2026, up 5.7% from $136.09 million a year earlier but down 30.7% from the prior quarter.
Ats (ATS) Cash & Equivalents (2023 - 2026) Analysis & Trends
As of Mar 31, 2026, Cash & Equivalents at Ats came in at $207.79 million, up 32.0% from the prior year.
- Cash & Equivalents has now increased for three consecutive years, with a three-year compound annual growth rate of 20.7% (years ended Mar 2023 to Mar 2026).
- In earlier years, Cash & Equivalents was $157.47 million in the year ended Mar 31, 2025 (+24.7%), $126.29 million in the year ended Mar 31, 2024 (+6.8%) and $118.25 million in the year ended Mar 31, 2023.
- Quarterly Cash & Equivalents has moved between $91.98 million (the quarter ended Jul 2, 2023) and $207.79 million (the quarter ended Mar 31, 2026) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 8.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was the quarter ended Jun 30, 2024 (growth of 47.1%); the worst was the quarter ended Sep 28, 2025 (a decline of 20.8%).
- Per Business Quant data, ATS's Cash & Equivalents in the three quarters before the quarter ended Jun 28, 2026 was $207.79 million (quarter ended Mar 31, 2026), $188.49 million (quarter ended Dec 28, 2025) and $143.43 million (quarter ended Sep 28, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 6.71 Bn |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 4.73 Bn |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 8.93 Bn |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 483.00 Mn |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 501.00 Mn |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 2.81 Bn |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 2.18 Bn |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 2.96 Bn |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 839.00 Mn |
| 10 | Ats | 1.77 Bn | 1.08 Bn | 137.42 Mn | 143.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 143.92 Mn |
| Mar 31, 2026 | 207.79 Mn |
| Dec 28, 2025 | 188.49 Mn |
| Sep 28, 2025 | 143.43 Mn |
| Jun 29, 2025 | 136.09 Mn |
| Mar 31, 2025 | 157.47 Mn |
| Dec 29, 2024 | 188.54 Mn |
| Sep 29, 2024 | 180.99 Mn |
| Jun 30, 2024 | 135.32 Mn |
| Mar 31, 2024 | 126.29 Mn |
| Dec 31, 2023 | 191.63 Mn |
| Oct 1, 2023 | 139.75 Mn |
| Jul 2, 2023 | 91.98 Mn |
| Mar 31, 2023 | 118.25 Mn |
Ats Cash & Equivalents 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=cash-and-equivalents&ticker=ATS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ATS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();