M-tron Industries (MPTI) Non-Current Assets (2021 - 2026)
M-tron Industries (MPTI) posted Non-Current Assets of $8.06 million for Q2 2026, up 1.9% from $7.91 million a year earlier and up 9.5% from the prior quarter.
M-tron Industries (MPTI) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, M-tron Industries' Non-Current Assets came in at $7.17 million, up 5.3% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, though with a four-year compound annual growth rate of -2.4% (FY2021 to FY2025).
- In prior years, M-tron Industries' Non-Current Assets was $6.81 million in FY2024 (+11.3%), $6.12 million in FY2023 (+23.4%), $4.96 million in FY2022 (-37.3%) and $7.91 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q3 2022.
- On a year-over-year basis, Non-Current Assets has increased in each of the last 11 quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2024, with growth of 42.3%; the weakest was Q3 2023, with a decline of 52.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $7.36 million (Q1 2026), $7.17 million (Q4 2025) and $7.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 233.45 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 90.97 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 46.85 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 3.56 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 9.73 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 4.75 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 8.23 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 62.27 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 49.73 Bn |
| 10 | M-tron Industries | 328.86 Mn | 141.44 Mn | 6.23 Mn | 8.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.06 Mn |
| Mar 31, 2026 | 7.36 Mn |
| Dec 31, 2025 | 7.17 Mn |
| Sep 30, 2025 | 7.32 Mn |
| Jun 30, 2025 | 7.91 Mn |
| Mar 31, 2025 | 7.33 Mn |
| Dec 31, 2024 | 6.81 Mn |
| Sep 30, 2024 | 6.86 Mn |
| Jun 30, 2024 | 6.72 Mn |
| Mar 31, 2024 | 6.06 Mn |
| Dec 31, 2023 | 6.12 Mn |
| Sep 30, 2023 | 4.82 Mn |
| Jun 30, 2023 | 4.79 Mn |
| Mar 31, 2023 | 4.83 Mn |
| Dec 31, 2022 | 4.96 Mn |
| Sep 30, 2022 | 10.20 Mn |
| Dec 31, 2021 | 7.91 Mn |
| Sep 30, 2021 | 7.29 Mn |
M-tron Industries Non-Current Assets 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=non-current-assets&ticker=MPTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();