M-tron Industries (MPTI) Operating Expenses (2023 - 2026)
M-tron Industries (MPTI) recorded Operating Expenses of $13.39 million in Q2 2026, up 17.1% from $11.44 million a year earlier and up 10.9% from the prior quarter.
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Analysis
M-tron Industries (MPTI) Operating Expenses (2023 - 2026) Analysis & Trends
On a TTM basis, M-tron Industries' Operating Expenses came in at $47.44 million as of Jun 30, 2026, up 11.1% year-over-year; for FY2025, it came in at $44.13 million, up 11.4% from FY2024.
- Across earlier years, Operating Expenses came in at $39.62 million in FY2024 (+7.5%) and $36.87 million in FY2023.
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2023.
- On a year-over-year basis, Operating Expenses has increased for six consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 17.9% in Q2 2025, against a decline of 5.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $12.08 million (Q1 2026), $10.35 million (Q4 2025) and $11.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,812.19 Bn | 4,559.68 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.99 Bn | 357.91 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 345.43 Bn | 301.18 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 255.77 Bn | 209.23 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 252.54 Bn | 241.07 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 207.16 Bn | 202.15 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.71 Bn | 151.83 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.72 Bn | 94.11 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.25 Bn | 78.06 Bn | 477.30 Mn | 198.00 Mn |
| 10 | M-tron Industries | 333.47 Mn | 146.05 Mn | 6.23 Mn | 13.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.39 Mn |
| Mar 31, 2026 | 12.08 Mn |
| Dec 31, 2025 | 10.35 Mn |
| Sep 30, 2025 | 11.62 Mn |
| Jun 30, 2025 | 11.44 Mn |
| Mar 31, 2025 | 10.72 Mn |
| Dec 31, 2024 | 10.23 Mn |
| Sep 30, 2024 | 10.29 Mn |
| Jun 30, 2024 | 9.70 Mn |
| Mar 31, 2024 | 9.40 Mn |
| Dec 31, 2023 | 10.83 Mn |
| Sep 30, 2023 | 8.86 Mn |
| Jun 30, 2023 | 8.58 Mn |
| Mar 31, 2023 | 8.61 Mn |
API Access
M-tron Industries Operating Expenses 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=operating-expenses&ticker=MPTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();