Esco Technologies (ESE) Cash & Equivalents (2009 - 2026)
Esco Technologies' Cash & Equivalents was $73.24 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.0% from $78.72 million a year earlier and down 20.7% from the prior quarter.
Esco Technologies (ESE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Esco Technologies came in at $101.35 million, up 53.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $65.96 million in FY2024 (+57.6%), $41.87 million in FY2023 (-57.2%), $97.72 million in FY2022 (+73.8%) and $56.23 million in FY2021 (+7.0%).
- The fiscal Q3 2026 figure marks the lowest quarterly Cash & Equivalents since fiscal Q2 2025.
- Compared with a year earlier, Cash & Equivalents was higher in six of the last eight quarters, with growth averaging 33.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2022 (growth of 73.8%); the worst was fiscal Q4 2023 (a decline of 57.2%).
- Per Business Quant data, ESE's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $92.3 million (Q2 2026), $103.82 million (Q1 2026) and $101.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | 9.35 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | 8.31 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | 3.79 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | 563.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 4.33 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 710.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | 2.31 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Esco Technologies | 7.00 Bn | 6.62 Bn | 141.52 Mn | 73.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.24 Mn |
| Mar 31, 2026 | 92.30 Mn |
| Dec 31, 2025 | 103.82 Mn |
| Sep 30, 2025 | 101.35 Mn |
| Jun 30, 2025 | 78.72 Mn |
| Mar 31, 2025 | 57.40 Mn |
| Dec 31, 2024 | 71.30 Mn |
| Sep 30, 2024 | 65.96 Mn |
| Jun 30, 2024 | 63.04 Mn |
| Mar 31, 2024 | 59.44 Mn |
| Dec 31, 2023 | 51.40 Mn |
| Sep 30, 2023 | 41.87 Mn |
| Jun 30, 2023 | 56.10 Mn |
| Mar 31, 2023 | 48.22 Mn |
| Dec 31, 2022 | 51.92 Mn |
| Sep 30, 2022 | 97.72 Mn |
| Jun 30, 2022 | 61.02 Mn |
| Mar 31, 2022 | 54.32 Mn |
| Dec 31, 2021 | 55.72 Mn |
| Sep 30, 2021 | 56.23 Mn |
Esco Technologies 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=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "ESE", "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=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();