Esco Technologies (ESE) Capital Expenditures (2009 - 2026)
Esco Technologies (ESE) reported Capital Expenditures of $11.43 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.3% from $9.35 million a year earlier and up 58.0% from the prior quarter.
Esco Technologies (ESE) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Esco Technologies' Capital Expenditures came in at $36.67 million, up 11.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $36.32 million, up 28.5% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By fiscal year, Capital Expenditures came in at $28.28 million in FY2024 (+43.8%), $19.66 million in FY2023 (-38.8%), $32.1 million in FY2022 (+20.2%) and $26.71 million in FY2021 (-16.8%).
- Five-year quarterly Capital Expenditures spans a low of $2.67 million in fiscal Q4 2023 and a high of $14.13 million in fiscal Q1 2022.
- Year over year, Capital Expenditures gained in six of the last eight quarters, with growth averaging 55.7%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q4 2024 (growth of 227.2%); the low point was fiscal Q1 2023 (a decline of 66.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $7.23 million (Q2 2026), $5.9 million (Q1 2026) and $12.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 318.00 Mn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 104.00 Mn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 234.00 Mn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 11.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.43 Mn |
| Mar 31, 2026 | 7.23 Mn |
| Dec 31, 2025 | 5.90 Mn |
| Sep 30, 2025 | 12.11 Mn |
| Jun 30, 2025 | 9.35 Mn |
| Mar 31, 2025 | 9.74 Mn |
| Dec 31, 2024 | 5.12 Mn |
| Sep 30, 2024 | 8.72 Mn |
| Jun 30, 2024 | 3.25 Mn |
| Mar 31, 2024 | 8.45 Mn |
| Dec 31, 2023 | 7.85 Mn |
| Sep 30, 2023 | 2.67 Mn |
| Jun 30, 2023 | 6.69 Mn |
| Mar 31, 2023 | 5.51 Mn |
| Dec 31, 2022 | 4.79 Mn |
| Sep 30, 2022 | 6.21 Mn |
| Jun 30, 2022 | 5.18 Mn |
| Mar 31, 2022 | 6.58 Mn |
| Dec 31, 2021 | 14.13 Mn |
| Sep 30, 2021 | 8.82 Mn |
Esco Technologies Capital Expenditures 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=capital-expenditures&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();