Esco Technologies (ESE) Other Accumulated Expenses (2009 - 2026)
Esco Technologies (ESE) reported Other Accumulated Expenses of $61.26 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.5% from $65.52 million a year earlier but up 2.6% from the prior quarter.
Esco Technologies (ESE) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies posted Other Accumulated Expenses of $59.72 million, up 20.5% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By fiscal year, Other Accumulated Expenses came in at $49.56 million in FY2024 (-3.9%), $51.59 million in FY2023 (-4.1%), $53.8 million in FY2022 (+2.5%) and $52.51 million in FY2021 (+5.3%).
- Five-year quarterly Other Accumulated Expenses spans a low of $40.94 million in fiscal Q1 2022 and a high of $65.52 million in fiscal Q3 2025.
- Year over year, Other Accumulated Expenses gained in five of the last eight quarters, with growth averaging 10.8%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q3 2025 (growth of 27.3%); the low point was fiscal Q1 2022 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $59.73 million (Q2 2026), $60.82 million (Q1 2026) and $59.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | Esco Technologies | 7.13 Bn | 6.76 Bn | 141.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.26 Mn |
| Mar 31, 2026 | 59.73 Mn |
| Dec 31, 2025 | 60.82 Mn |
| Sep 30, 2025 | 59.72 Mn |
| Jun 30, 2025 | 65.52 Mn |
| Mar 31, 2025 | 52.87 Mn |
| Dec 31, 2024 | 50.50 Mn |
| Sep 30, 2024 | 49.56 Mn |
| Jun 30, 2024 | 51.48 Mn |
| Mar 31, 2024 | 44.98 Mn |
| Dec 31, 2023 | 51.64 Mn |
| Sep 30, 2023 | 51.59 Mn |
| Jun 30, 2023 | 51.24 Mn |
| Mar 31, 2023 | 46.37 Mn |
| Dec 31, 2022 | 50.43 Mn |
| Sep 30, 2022 | 53.80 Mn |
| Jun 30, 2022 | 48.23 Mn |
| Mar 31, 2022 | 47.21 Mn |
| Dec 31, 2021 | 40.94 Mn |
| Sep 30, 2021 | 52.51 Mn |
Esco Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();