Methode Electronics (MEI) Depreciation and Depletion (2010 - 2026)
Methode Electronics' Depreciation and Depletion came in at $8.6 million for fiscal Q4 2026 (quarter ended May 2, 2026), down 15.7% from $10.2 million a year earlier and down 2.3% from the prior quarter.
Methode Electronics (MEI) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For FY2026 (ended May 2, 2026), Methode Electronics' Depreciation and Depletion was $35.7 million, up 1.7% from FY2025.
- Depreciation and Depletion has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $35.1 million in FY2025 (+3.5%), $33.9 million in FY2024 (+10.4%), $30.7 million in FY2023 (-8.4%) and $33.5 million in FY2022 (+4.0%).
- The fiscal Q4 2026 figure represents the lowest quarterly Depreciation and Depletion since fiscal Q3 2025.
- Year-over-year, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q4 2025 (growth of 18.6%), and the weakest in fiscal Q4 2026 (a decline of 15.7%).
- Business Quant data shows MEI's Depreciation and Depletion at $8.8 million (Q3 2026), $9.2 million (Q2 2026) and $9.1 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | - |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | - |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 134.00 Mn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 89.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 39.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 96.00 Mn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 82.00 Mn |
| 10 | Methode Electronics | 561.77 Mn | 53.77 Mn | 47.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| May 2, 2026 | 8.60 Mn |
| Jan 31, 2026 | 8.80 Mn |
| Nov 1, 2025 | 9.20 Mn |
| Aug 2, 2025 | 9.10 Mn |
| May 3, 2025 | 10.20 Mn |
| Feb 1, 2025 | 8.30 Mn |
| Nov 2, 2024 | 8.40 Mn |
| Jul 27, 2024 | 8.20 Mn |
| Apr 27, 2024 | 8.60 Mn |
| Jan 27, 2024 | 8.80 Mn |
| Oct 28, 2023 | 8.20 Mn |
| Jul 29, 2023 | 8.30 Mn |
| Apr 29, 2023 | 8.00 Mn |
| Jan 28, 2023 | 7.60 Mn |
| Oct 29, 2022 | 7.50 Mn |
| Jul 30, 2022 | 7.60 Mn |
| Apr 30, 2022 | 8.30 Mn |
| Jan 29, 2022 | 8.90 Mn |
| Oct 30, 2021 | 8.50 Mn |
| Jul 31, 2021 | 7.80 Mn |
Methode Electronics 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=MEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "MEI", "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=MEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();