M-tron Industries (MPTI) Depreciation and Depletion (2021 - 2026)
M-tron Industries' Depreciation and Depletion was $311,000 in Q2 2026, up 15.2% from $270,000 a year earlier and up 3.0% from the prior quarter.
M-tron Industries (MPTI) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, M-tron Industries' Depreciation and Depletion was $1.18 million through Jun 30, 2026, up 12.4% year-over-year; for FY2025, it was $1.09 million, up 12.2% from FY2024.
- Depreciation and Depletion has now increased for four consecutive years, with a four-year compound annual growth rate of 22.1% (FY2021 to FY2025).
- In earlier years, Depreciation and Depletion was $968,000 in FY2024 (+21.5%), $797,000 in FY2023 (+18.8%), $671,000 in FY2022 (+37.5%) and $488,000 in FY2021.
- The Q2 2026 figure marks the highest quarterly Depreciation and Depletion in data going back to Q4 2021.
- Compared with a year earlier, Depreciation and Depletion has increased for 15 straight quarters, with growth averaging 18.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation and Depletion ran from 0.7% in Q3 2025 to 44.8% in Q3 2024.
- Per Business Quant data, MPTI's Depreciation and Depletion in the three quarters before Q2 2026 was $302,000 (Q1 2026), $286,000 (Q4 2025) and $280,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | - |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | - |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | - |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | - |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 37.60 Mn |
| 10 | M-tron Industries | 335.30 Mn | 147.87 Mn | 6.23 Mn | 311,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 311,000.00 |
| Mar 31, 2026 | 302,000.00 |
| Dec 31, 2025 | 286,000.00 |
| Sep 30, 2025 | 280,000.00 |
| Jun 30, 2025 | 270,000.00 |
| Mar 31, 2025 | 250,000.00 |
| Dec 31, 2024 | 251,000.00 |
| Sep 30, 2024 | 278,000.00 |
| Jun 30, 2024 | 220,000.00 |
| Mar 31, 2024 | 219,000.00 |
| Dec 31, 2023 | 220,000.00 |
| Sep 30, 2023 | 192,000.00 |
| Jun 30, 2023 | 190,000.00 |
| Mar 31, 2023 | 195,000.00 |
| Dec 31, 2022 | 185,000.00 |
| Sep 30, 2022 | 173,000.00 |
| Jun 30, 2022 | 165,000.00 |
| Mar 31, 2022 | 148,000.00 |
| Dec 31, 2021 | 139,000.00 |
M-tron Industries 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=MPTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "MPTI", "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=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();