Esco Technologies (ESE) Receivables (2009 - 2026)
Esco Technologies' Receivables was $395.12 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 19.8% from $329.75 million a year earlier and up 9.6% from the prior quarter.
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Analysis
Esco Technologies (ESE) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Receivables at Esco Technologies came in at $344.33 million, up 19.2% from FY2024.
- Receivables shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In earlier fiscal years, Receivables was $288.81 million in FY2024 (-11.9%), $327.93 million in FY2023 (+13.2%), $289.75 million in FY2022 (+20.7%) and $240.07 million in FY2021 (+0.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Receivables in data going back to fiscal Q4 2009.
- Compared with a year earlier, Receivables was higher in five of the last eight quarters, with growth averaging 4.0%.
- The best year-over-year quarter for Receivables over five years was fiscal Q3 2022 (growth of 23.7%); the worst was fiscal Q4 2024 (a decline of 11.9%).
- Per Business Quant data, ESE's Receivables in the three fiscal quarters before Q3 2026 was $360.37 million (Q2 2026), $333.99 million (Q1 2026) and $344.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 15.83 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 32.92 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 13.18 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 19.39 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 1.04 Bn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 48.50 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 3.62 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 10.26 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 10.85 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 395.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 395.12 Mn |
| Mar 31, 2026 | 360.37 Mn |
| Dec 31, 2025 | 333.99 Mn |
| Sep 30, 2025 | 344.33 Mn |
| Jun 30, 2025 | 329.75 Mn |
| Mar 31, 2025 | 343.40 Mn |
| Dec 31, 2024 | 334.10 Mn |
| Sep 30, 2024 | 288.81 Mn |
| Jun 30, 2024 | 348.24 Mn |
| Mar 31, 2024 | 326.84 Mn |
| Dec 31, 2023 | 332.79 Mn |
| Sep 30, 2023 | 327.93 Mn |
| Jun 30, 2023 | 320.43 Mn |
| Mar 31, 2023 | 309.02 Mn |
| Dec 31, 2022 | 282.18 Mn |
| Sep 30, 2022 | 289.75 Mn |
| Jun 30, 2022 | 284.56 Mn |
| Mar 31, 2022 | 251.95 Mn |
| Dec 31, 2021 | 236.74 Mn |
| Sep 30, 2021 | 240.07 Mn |
API Access
Esco Technologies Receivables 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=receivables&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();