Esco Technologies (ESE) Tax Provisions (2009 - 2026)
Esco Technologies (ESE) reported Tax Provisions of $8.22 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.1% from $8.31 million a year earlier and down 20.3% from the prior quarter.
Esco Technologies (ESE) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Esco Technologies' Tax Provisions came in at $40.03 million, up 20.8% year-over-year; for FY2025 (ended Sep 30, 2025), it was $36.55 million, up 29.1% from FY2024.
- Tax Provisions has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $28.33 million in FY2024 (+14.8%), $24.68 million in FY2023 (+2.4%), $24.12 million in FY2022 (+40.4%) and $17.18 million in FY2021 (+27.1%).
- Five-year quarterly Tax Provisions spans a low of $3.31 million in fiscal Q1 2022 and a high of $14.71 million in fiscal Q4 2025.
- Year over year, Tax Provisions gained in seven of the last eight quarters, with growth averaging 25.3%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q4 2022 (growth of 100.9%); the low point was fiscal Q4 2023 (a decline of 20.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $10.31 million (Q2 2026), $6.79 million (Q1 2026) and $14.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn | 407.00 Mn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn | 493.00 Mn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn | 63.00 Mn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn | 342.00 Mn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn | 115.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn | 247.00 Mn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn | 184.00 Mn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn | 74.00 Mn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn | 1.58 Bn |
| 10 | Esco Technologies | 6.87 Bn | 6.50 Bn | 141.52 Mn | 8.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.22 Mn |
| Mar 31, 2026 | 10.31 Mn |
| Dec 31, 2025 | 6.79 Mn |
| Sep 30, 2025 | 14.71 Mn |
| Jun 30, 2025 | 8.31 Mn |
| Mar 31, 2025 | 8.04 Mn |
| Dec 31, 2024 | 5.49 Mn |
| Sep 30, 2024 | 11.29 Mn |
| Jun 30, 2024 | 7.65 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 4.29 Mn |
| Sep 30, 2023 | 7.48 Mn |
| Jun 30, 2023 | 7.56 Mn |
| Mar 31, 2023 | 5.47 Mn |
| Dec 31, 2022 | 4.17 Mn |
| Sep 30, 2022 | 9.39 Mn |
| Jun 30, 2022 | 6.33 Mn |
| Mar 31, 2022 | 5.09 Mn |
| Dec 31, 2021 | 3.31 Mn |
| Sep 30, 2021 | 4.67 Mn |
Esco Technologies Tax Provisions 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=tax-provisions&ticker=ESE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ESE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();