Esco Technologies (ESE) Intangibles (2009 - 2026)
Esco Technologies (ESE) recorded Intangibles of $664.45 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 10.8% from $745.08 million a year earlier and down 2.6% from the prior quarter.
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Analysis
Esco Technologies (ESE) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies reported Intangibles of $723.97 million, up 79.4% from FY2024.
- Annual Intangibles has a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- Across earlier fiscal years, Intangibles came in at $403.52 million in FY2024 (+2.9%), $392.12 million in FY2023 (-0.6%), $394.46 million in FY2022 (-3.6%) and $409.25 million in FY2021 (+18.1%).
- The fiscal Q3 2026 figure is the lowest quarterly Intangibles since fiscal Q2 2025.
- On a year-over-year basis, Intangibles rose in five of the last eight quarters, with growth averaging 36.7%.
- Peak year-over-year performance for Intangibles in the last five years was growth of 82.2% in fiscal Q3 2025, against a decline of 10.8% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $682.37 million (Q2 2026), $706.38 million (Q1 2026) and $723.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 4.09 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 31.04 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 1.53 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 1.79 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 869.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 1.28 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 2.95 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.41 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 664.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 664.45 Mn |
| Mar 31, 2026 | 682.37 Mn |
| Dec 31, 2025 | 706.38 Mn |
| Sep 30, 2025 | 723.97 Mn |
| Jun 30, 2025 | 745.08 Mn |
| Mar 31, 2025 | 394.59 Mn |
| Dec 31, 2024 | 396.30 Mn |
| Sep 30, 2024 | 403.52 Mn |
| Jun 30, 2024 | 408.98 Mn |
| Mar 31, 2024 | 414.87 Mn |
| Dec 31, 2023 | 422.05 Mn |
| Sep 30, 2023 | 392.12 Mn |
| Jun 30, 2023 | 398.42 Mn |
| Mar 31, 2023 | 401.72 Mn |
| Dec 31, 2022 | 394.82 Mn |
| Sep 30, 2022 | 394.46 Mn |
| Jun 30, 2022 | 401.34 Mn |
| Mar 31, 2022 | 407.20 Mn |
| Dec 31, 2021 | 411.68 Mn |
| Sep 30, 2021 | 409.25 Mn |
API Access
Esco Technologies Intangibles 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=intangibles&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();