M-tron Industries (MPTI) Cash & Equivalents (2021 - 2026)
M-tron Industries' Cash & Equivalents was $96.25 million in Q2 2026, up 519.8% from $15.53 million a year earlier and up 85.2% from the prior quarter.
M-tron Industries (MPTI) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at M-tron Industries came in at $20.89 million, up 65.3% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a four-year compound annual growth rate of 67.8% (FY2021 to FY2025).
- In earlier years, Cash & Equivalents was $12.64 million in FY2024 (+223.1%), $3.91 million in FY2023 (+322.6%), $926,000 in FY2022 (-64.9%) and $2.64 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q3 2021.
- Compared with a year earlier, Cash & Equivalents has increased for 12 straight quarters, with growth averaging 216.0% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2026 (growth of 519.8%); the worst was Q4 2022 (a decline of 64.9%).
- Per Business Quant data, MPTI's Cash & Equivalents in the three quarters before Q2 2026 was $51.96 million (Q1 2026), $20.89 million (Q4 2025) and $18.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 39.54 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 7.22 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 11.57 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 2.29 Bn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 4.76 Bn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 1.70 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 1.58 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 13.61 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 2.04 Bn |
| 10 | M-tron Industries | 335.30 Mn | 147.87 Mn | 6.23 Mn | 96.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.25 Mn |
| Mar 31, 2026 | 51.96 Mn |
| Dec 31, 2025 | 20.89 Mn |
| Sep 30, 2025 | 18.33 Mn |
| Jun 30, 2025 | 15.53 Mn |
| Mar 31, 2025 | 13.66 Mn |
| Dec 31, 2024 | 12.64 Mn |
| Sep 30, 2024 | 8.49 Mn |
| Jun 30, 2024 | 6.50 Mn |
| Mar 31, 2024 | 5.41 Mn |
| Dec 31, 2023 | 3.91 Mn |
| Sep 30, 2023 | 2.55 Mn |
| Jun 30, 2023 | 1.32 Mn |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 926,000.00 |
| Sep 30, 2022 | 806,000.00 |
| Dec 31, 2021 | 2.64 Mn |
| Sep 30, 2021 | 1.84 Mn |
M-tron Industries Cash & Equivalents 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=cash-and-equivalents&ticker=MPTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();