M-tron Industries (MPTI) Total Liabilities (2021 - 2026)
M-tron Industries (MPTI) posted Total Liabilities of $7.22 million for Q2 2026, up 48.0% from $4.88 million a year earlier and up 15.6% from the prior quarter.
M-tron Industries (MPTI) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, M-tron Industries' Total Liabilities came in at $5.17 million, down 2.3% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of 13.1% (FY2021 to FY2025).
- In prior years, M-tron Industries' Total Liabilities was $5.29 million in FY2024 (+19.9%), $4.41 million in FY2023 (-10.6%), $4.93 million in FY2022 (+56.2%) and $3.16 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q3 2021.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 15.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 114.9%; the weakest was Q3 2023, with a decline of 16.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $6.24 million (Q1 2026), $5.17 million (Q4 2025) and $5.22 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,983.52 Bn | 4,731.01 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 425.17 Bn | 361.10 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 313.14 Bn | 268.90 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 230.72 Bn | 184.18 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 200.61 Bn | 189.13 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 151.72 Bn | 146.71 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Sony | 150.12 Bn | 87.38 Bn | 6.53 Bn | 44.91 Bn |
| 8 | Western Digital | 128.23 Bn | 116.36 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 77.42 Bn | 55.30 Bn | 4.93 Bn | 57.02 Bn |
| 10 | M-tron Industries | 277.46 Mn | 90.03 Mn | 6.23 Mn | 7.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.22 Mn |
| Mar 31, 2026 | 6.24 Mn |
| Dec 31, 2025 | 5.17 Mn |
| Sep 30, 2025 | 5.22 Mn |
| Jun 30, 2025 | 4.88 Mn |
| Mar 31, 2025 | 4.61 Mn |
| Dec 31, 2024 | 5.29 Mn |
| Sep 30, 2024 | 5.30 Mn |
| Jun 30, 2024 | 4.72 Mn |
| Mar 31, 2024 | 5.07 Mn |
| Dec 31, 2023 | 4.41 Mn |
| Sep 30, 2023 | 4.03 Mn |
| Jun 30, 2023 | 4.81 Mn |
| Mar 31, 2023 | 5.65 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Sep 30, 2022 | 4.82 Mn |
| Dec 31, 2021 | 3.16 Mn |
| Sep 30, 2021 | 2.24 Mn |
M-tron Industries Total Liabilities 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=total-liabilities&ticker=MPTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();