M-tron Industries (MPTI) Capital Expenditures (2021 - 2026)
M-tron Industries' Capital Expenditures was $937,000 in Q2 2026, up 15.4% from $812,000 a year earlier and up 107.3% from the prior quarter.
M-tron Industries (MPTI) Capital Expenditures (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, M-tron Industries' Capital Expenditures was $2.54 million through Jun 30, 2026, up 10.5% year-over-year; for FY2025, it came in at $2.55 million, up 34.4% from FY2024.
- Capital Expenditures has now increased for three consecutive years, with a four-year compound annual growth rate of 23.4% (FY2021 to FY2025).
- In earlier years, Capital Expenditures was $1.9 million in FY2024 (+48.2%), $1.28 million in FY2023 (+36.9%), $936,000 in FY2022 (-14.8%) and $1.1 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Capital Expenditures in data going back to Q4 2021.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 57.2%.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2025 (growth of 380.3%); the worst was Q1 2023 (a decline of 62.3%).
- Per Business Quant data, MPTI's Capital Expenditures in the three quarters before Q2 2026 was $452,000 (Q1 2026), $346,000 (Q4 2025) and $807,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 2.46 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 390.00 Mn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 1.24 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 29.70 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 43.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 187.00 Mn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 108.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | - |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 166.80 Mn |
| 10 | M-tron Industries | 340.73 Mn | 153.31 Mn | 6.23 Mn | 937,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 937,000.00 |
| Mar 31, 2026 | 452,000.00 |
| Dec 31, 2025 | 346,000.00 |
| Sep 30, 2025 | 807,000.00 |
| Jun 30, 2025 | 812,000.00 |
| Mar 31, 2025 | 586,000.00 |
| Dec 31, 2024 | 425,000.00 |
| Sep 30, 2024 | 478,000.00 |
| Jun 30, 2024 | 873,000.00 |
| Mar 31, 2024 | 122,000.00 |
| Dec 31, 2023 | 716,000.00 |
| Sep 30, 2023 | 263,000.00 |
| Jun 30, 2023 | 224,000.00 |
| Mar 31, 2023 | 78,000.00 |
| Dec 31, 2022 | 273,000.00 |
| Sep 30, 2022 | 268,000.00 |
| Jun 30, 2022 | 188,000.00 |
| Mar 31, 2022 | 207,000.00 |
| Dec 31, 2021 | 340,000.00 |
M-tron Industries Capital Expenditures 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=capital-expenditures&ticker=MPTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();