Esco Technologies (ESE) Exchange Rate Effect (2009 - 2026)
Esco Technologies (ESE) recorded Exchange Rate Effect of $95,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 95.7% from $2.2 million a year earlier.
Esco Technologies (ESE) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a TTM basis, Esco Technologies' Exchange Rate Effect came in at -$2.63 million as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it came in at -$304,000.
- Across earlier fiscal years, Exchange Rate Effect came in at $1.97 million in FY2024, -$1.95 million in FY2023, -$5.74 million in FY2022 and $1.5 million in FY2021 (-59.9%).
- Quarterly Exchange Rate Effect has ranged from -$3.05 million in fiscal Q3 2022 to $2.2 million in fiscal Q3 2025 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$1.98 million (Q2 2026), $15,000 (Q1 2026) and -$756,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | -11.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | -13.00 Mn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 1.00 Mn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | -20.00 Mn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | -60.00 Mn |
| 10 | Esco Technologies | 6.88 Bn | 6.51 Bn | 141.52 Mn | 95,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95,000.00 |
| Mar 31, 2026 | -1.98 Mn |
| Dec 31, 2025 | 15,000.00 |
| Sep 30, 2025 | -756,000.00 |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 1.21 Mn |
| Dec 31, 2024 | -2.96 Mn |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | -162,000.00 |
| Mar 31, 2024 | -778,000.00 |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | -1.17 Mn |
| Jun 30, 2023 | -1.58 Mn |
| Mar 31, 2023 | 383,000.00 |
| Dec 31, 2022 | 418,000.00 |
| Sep 30, 2022 | -1.56 Mn |
| Jun 30, 2022 | -3.05 Mn |
| Mar 31, 2022 | -1.16 Mn |
| Dec 31, 2021 | 33,000.00 |
| Sep 30, 2021 | -310,000.00 |
Esco Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();