Heico (HEI) Depreciation and Depletion (2015 - 2026)
Heico's Depreciation and Depletion came in at $15.68 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 10.8% from $14.15 million a year earlier and up 5.6% from the prior quarter.
Heico (HEI) Depreciation and Depletion (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Heico reported Depreciation and Depletion of $58.75 million, up 10.3% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $54.42 million, up 10.8% from FY2024.
- Depreciation and Depletion has increased in each of the last 12 fiscal years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation and Depletion was $49.13 million in FY2024 (+22.0%), $40.28 million in FY2023 (+33.1%), $30.26 million in FY2022 (+8.8%) and $27.8 million in FY2021 (+2.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Depreciation and Depletion in data going back to fiscal Q1 2015.
- Year-over-year, Depreciation and Depletion has increased for 22 consecutive quarters, with growth averaging 10.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 4.5% in fiscal Q4 2024 to 56.7% in fiscal Q4 2023.
- Business Quant data shows HEI's Depreciation and Depletion at $14.85 million (Q2 2026), $14.16 million (Q1 2026) and $14.05 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn | - |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn | - |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn | - |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn | 175.00 Mn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn | 53.00 Mn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Heico | 42.78 Bn | 42.47 Bn | 580.99 Mn | 15.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 15.68 Mn |
| Apr 30, 2026 | 14.85 Mn |
| Jan 31, 2026 | 14.16 Mn |
| Oct 31, 2025 | 14.05 Mn |
| Jul 31, 2025 | 14.15 Mn |
| Apr 30, 2025 | 13.17 Mn |
| Jan 31, 2025 | 13.05 Mn |
| Oct 31, 2024 | 12.89 Mn |
| Jul 31, 2024 | 12.64 Mn |
| Apr 30, 2024 | 11.27 Mn |
| Jan 31, 2024 | 12.33 Mn |
| Oct 31, 2023 | 12.33 Mn |
| Jul 31, 2023 | 9.80 Mn |
| Apr 30, 2023 | 9.76 Mn |
| Jan 31, 2023 | 8.39 Mn |
| Oct 31, 2022 | 7.87 Mn |
| Jul 31, 2022 | 7.69 Mn |
| Apr 30, 2022 | 7.37 Mn |
| Jan 31, 2022 | 7.33 Mn |
| Oct 31, 2021 | 7.46 Mn |
Heico Depreciation and Depletion 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=depreciation-and-depletion&ticker=HEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "HEI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-depletion&ticker=HEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();