Esco Technologies (ESE) Cost of Revenue (2009 - 2026)
Esco Technologies' Cost of Revenue was $197.51 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.3% from $174.35 million a year earlier and up 10.9% from the prior quarter.
Esco Technologies (ESE) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Esco Technologies' Cost of Revenue was $748.51 million through Jun 30, 2026, up 28.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $634.3 million, up 19.6% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier fiscal years, Cost of Revenue was $530.56 million in FY2024 (+5.5%), $502.68 million in FY2023 (-4.3%), $525.46 million in FY2022 (+18.1%) and $445.05 million in FY2021 (-2.9%).
- Quarterly Cost of Revenue has moved between $86.73 million (fiscal Q4 2023) and $203.24 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 25.2% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q4 2024 (growth of 75.4%); the worst was fiscal Q4 2023 (a decline of 43.8%).
- Per Business Quant data, ESE's Cost of Revenue in the three fiscal quarters before Q3 2026 was $178.03 million (Q2 2026), $169.74 million (Q1 2026) and $203.24 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn | 8.67 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn | 19.58 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn | 22.15 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn | 17.62 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn | 1.60 Bn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn | 11.91 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn | 1.46 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn | 8.76 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn | 6.07 Bn |
| 10 | Esco Technologies | 7.13 Bn | 6.76 Bn | 141.52 Mn | 197.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.51 Mn |
| Mar 31, 2026 | 178.03 Mn |
| Dec 31, 2025 | 169.74 Mn |
| Sep 30, 2025 | 203.24 Mn |
| Jun 30, 2025 | 174.35 Mn |
| Mar 31, 2025 | 132.50 Mn |
| Dec 31, 2024 | 124.21 Mn |
| Sep 30, 2024 | 152.13 Mn |
| Jun 30, 2024 | 135.37 Mn |
| Mar 31, 2024 | 152.35 Mn |
| Dec 31, 2023 | 134.15 Mn |
| Sep 30, 2023 | 86.73 Mn |
| Jun 30, 2023 | 147.27 Mn |
| Mar 31, 2023 | 142.30 Mn |
| Dec 31, 2022 | 126.38 Mn |
| Sep 30, 2022 | 154.32 Mn |
| Jun 30, 2022 | 134.45 Mn |
| Mar 31, 2022 | 128.38 Mn |
| Dec 31, 2021 | 108.31 Mn |
| Sep 30, 2021 | 128.26 Mn |
Esco Technologies Cost of Revenue 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=cost-of-revenue&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();