Esco Technologies (ESE) EPS (Diluted) (2009 - 2026)
Esco Technologies (ESE) recorded EPS (Diluted) of $1.26 in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.3% from $1.01 a year earlier but down 5.9% from the prior quarter.
Powered by 
Analysis
Esco Technologies (ESE) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Esco Technologies' EPS (Diluted) came in at $12.12 as of Jun 30, 2026, up 173.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $11.55, up 193.3% from FY2024.
- Annual EPS (Diluted) has increased for four straight fiscal years, with a five-year compound annual growth rate of 24.9% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Diluted) came in at $3.94 in FY2024 (+10.1%), $3.58 in FY2023 (+13.2%), $3.16 in FY2022 (+30.4%) and $2.42 in FY2021 (-36.3%).
- Quarterly EPS (Diluted) has ranged from $0.44 in fiscal Q1 2022 to $8.44 in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 85.1% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 537.2% in fiscal Q4 2025, against a decline of 15.7% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.34 (Q2 2026), $1.11 (Q1 2026) and $8.44 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Space Exploration Technologies | 1,943.02 Bn | 1,704.73 Bn | 9.10 Bn | 0.35 |
| 2 | General Electric | 349.37 Bn | 308.11 Bn | 5.02 Bn | 2.20 |
| 3 | Rtx | 270.29 Bn | 240.28 Bn | 5.81 Bn | 1.89 |
| 4 | Lockheed Martin | 139.31 Bn | 123.54 Bn | 2.44 Bn | 7.97 |
| 5 | Boeing | 137.40 Bn | 46.38 Bn | 2.17 Bn | -0.26 |
| 6 | General Dynamics | 99.29 Bn | 84.52 Bn | 2.25 Bn | 4.49 |
| 7 | Motorola Solutions | 87.28 Bn | 83.77 Bn | 1.77 Bn | 3.06 |
| 8 | Howmet Aerospace | 87.15 Bn | 82.91 Bn | 1.00 Bn | 1.42 |
| 9 | Northrop Grumman | 77.96 Bn | 65.41 Bn | 2.35 Bn | 7.89 |
| 10 | Esco Technologies | 154.40 Mn | -216.31 Mn | 141.52 Mn | 63.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.00 |
| Mar 31, 2026 | 66.95 |
| Dec 31, 2025 | 55.43 |
| Sep 30, 2025 | 421.95 |
| Jun 30, 2025 | 50.28 |
| Mar 31, 2025 | 59.96 |
| Dec 31, 2024 | 45.43 |
| Sep 30, 2024 | 66.22 |
| Jun 30, 2024 | 56.56 |
| Mar 31, 2024 | 44.92 |
| Dec 31, 2023 | 29.34 |
| Sep 30, 2023 | 61.82 |
| Jun 30, 2023 | 54.10 |
| Mar 31, 2023 | 34.52 |
| Dec 31, 2022 | 28.38 |
| Sep 30, 2022 | 59.54 |
| Jun 30, 2022 | 44.65 |
| Mar 31, 2022 | 31.84 |
| Dec 31, 2021 | 22.04 |
| Sep 30, 2021 | 38.83 |
API Access
Esco Technologies EPS (Diluted) 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-diluted&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();