Esco Technologies (ESE) Receivables - Net (2009 - 2026)
Esco Technologies' Receivables - Net was $267.5 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.4% from $238.02 million a year earlier and up 4.2% from the prior quarter.
Powered by 
Analysis
Esco Technologies (ESE) Receivables - Net (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Receivables - Net at Esco Technologies came in at $253.6 million, up 14.2% from FY2024.
- Receivables - Net has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.0% (FY2020 to FY2025).
- In earlier fiscal years, Receivables - Net was $222.1 million in FY2024 (+17.3%), $189.3 million in FY2023 (+15.0%), $164.6 million in FY2022 (+12.5%) and $146.3 million in FY2021 (+1.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Receivables - Net in data going back to fiscal Q4 2009.
- Compared with a year earlier, Receivables - Net has increased for 18 straight quarters, with growth averaging 14.3% over the last eight quarters.
- The best year-over-year quarter for Receivables - Net over five years was fiscal Q2 2023 (growth of 28.7%); the worst was fiscal Q1 2022 (a decline of 5.4%).
- Per Business Quant data, ESE's Receivables - Net in the three fiscal quarters before Q3 2026 was $256.84 million (Q2 2026), $245.33 million (Q1 2026) and $253.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 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 |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 267.50 Mn |
| Mar 31, 2026 | 256.84 Mn |
| Dec 31, 2025 | 245.33 Mn |
| Sep 30, 2025 | 253.60 Mn |
| Jun 30, 2025 | 238.02 Mn |
| Mar 31, 2025 | 218.12 Mn |
| Dec 31, 2024 | 202.70 Mn |
| Sep 30, 2024 | 222.10 Mn |
| Jun 30, 2024 | 213.60 Mn |
| Mar 31, 2024 | 187.54 Mn |
| Dec 31, 2023 | 194.40 Mn |
| Sep 30, 2023 | 189.30 Mn |
| Jun 30, 2023 | 192.15 Mn |
| Mar 31, 2023 | 180.82 Mn |
| Dec 31, 2022 | 159.66 Mn |
| Sep 30, 2022 | 164.60 Mn |
| Jun 30, 2022 | 168.72 Mn |
| Mar 31, 2022 | 140.50 Mn |
| Dec 31, 2021 | 135.87 Mn |
| Sep 30, 2021 | 146.30 Mn |
API Access
Esco Technologies Receivables - Net 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-net&ticker=ESE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();