Esco Technologies (ESE) Inventory (2009 - 2026)
Esco Technologies (ESE) reported Inventory of $240.54 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.4% from $237.11 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Esco Technologies (ESE) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Esco Technologies posted Inventory of $217.81 million, up 11.4% from FY2024.
- Inventory has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- By fiscal year, Inventory came in at $195.47 million in FY2024 (+6.2%), $184.07 million in FY2023 (+13.3%), $162.4 million in FY2022 (+10.4%) and $147.15 million in FY2021 (+8.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Inventory in data going back to fiscal Q4 2009.
- Year over year, Inventory has now increased in each of the last 20 quarters, with growth averaging 6.4% over the last eight quarters.
- The year-over-year growth in Inventory has ranged between 1.4% (fiscal Q3 2026) and 26.3% (fiscal Q3 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $237.09 million (Q2 2026), $227.15 million (Q1 2026) and $217.81 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 4.41 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 2.18 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 9.10 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 240.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.54 Mn |
| Mar 31, 2026 | 237.09 Mn |
| Dec 31, 2025 | 227.15 Mn |
| Sep 30, 2025 | 217.81 Mn |
| Jun 30, 2025 | 237.11 Mn |
| Mar 31, 2025 | 231.20 Mn |
| Dec 31, 2024 | 219.38 Mn |
| Sep 30, 2024 | 195.47 Mn |
| Jun 30, 2024 | 219.31 Mn |
| Mar 31, 2024 | 211.34 Mn |
| Dec 31, 2023 | 202.58 Mn |
| Sep 30, 2023 | 184.07 Mn |
| Jun 30, 2023 | 192.49 Mn |
| Mar 31, 2023 | 185.75 Mn |
| Dec 31, 2022 | 181.74 Mn |
| Sep 30, 2022 | 162.40 Mn |
| Jun 30, 2022 | 178.17 Mn |
| Mar 31, 2022 | 175.15 Mn |
| Dec 31, 2021 | 165.02 Mn |
| Sep 30, 2021 | 147.15 Mn |
API Access
Esco Technologies Inventory 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=inventory&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();