Esco Technologies (ESE) EPS (Basic) (2009 - 2026)
Esco Technologies (ESE) posted EPS (Basic) of $1.26 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.2% from $1.01 a year earlier but down 5.8% from the prior quarter.
Esco Technologies (ESE) EPS (Basic) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Basic) at Esco Technologies was $12.15, up 173.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $11.59, up 193.3% from FY2024.
- Annual EPS (Basic) has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 24.8% (FY2020 to FY2025).
- In prior fiscal years, Esco Technologies' EPS (Basic) was $3.95 in FY2024 (+10.2%), $3.59 in FY2023 (+13.0%), $3.17 in FY2022 (+30.2%) and $2.44 in FY2021 (-36.2%).
- Quarterly EPS (Basic) has run from a low of $0.44 in fiscal Q1 2022 to a high of $8.47 in fiscal Q4 2025 over five years.
- On a year-over-year basis, EPS (Basic) has increased in each of the last four quarters, with growth averaging 85.0% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Basic) in the past five years was fiscal Q4 2025, with growth of 537.2%; the weakest was fiscal Q1 2022, with a decline of 15.9%.
- According to Business Quant data, EPS (Basic) for the three prior fiscal quarters was $1.34 (Q2 2026), $1.11 (Q1 2026) and $8.47 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 2.28 |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 1.58 |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | -0.67 |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 7.98 |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.34 |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 4.29 |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 3.36 |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 7.70 |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 17.92 |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 1.26 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 |
| Mar 31, 2026 | 1.34 |
| Dec 31, 2025 | 1.11 |
| Sep 30, 2025 | 8.47 |
| Jun 30, 2025 | 1.01 |
| Mar 31, 2025 | 1.20 |
| Dec 31, 2024 | 0.91 |
| Sep 30, 2024 | 1.33 |
| Jun 30, 2024 | 1.14 |
| Mar 31, 2024 | 0.90 |
| Dec 31, 2023 | 0.59 |
| Sep 30, 2023 | 1.24 |
| Jun 30, 2023 | 1.08 |
| Mar 31, 2023 | 0.69 |
| Dec 31, 2022 | 0.57 |
| Sep 30, 2022 | 1.20 |
| Jun 30, 2022 | 0.90 |
| Mar 31, 2022 | 0.64 |
| Dec 31, 2021 | 0.44 |
| Sep 30, 2021 | 0.78 |
Esco Technologies EPS (Basic) 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=eps-basic&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();