M-tron Industries (MPTI) Finished Goods (2021 - 2023)
M-tron Industries' Finished Goods was $1.49 million in Q4 2023, up 47.0% from $1.01 million a year earlier but down 20.5% from the prior quarter.
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Analysis
M-tron Industries (MPTI) Finished Goods (2021 - 2023) Analysis & Trends
From Q3 2021 onward, M-tron Industries has reported Finished Goods for 8 quarters.
- In earlier years, Finished Goods was $1.01 million in FY2022 (+4.1%) and $970,000 in FY2021.
- Quarterly Finished Goods has moved between $791,000 (Q3 2021) and $1.87 million (Q3 2023) over five years.
- Per Business Quant data, MPTI's Finished Goods in the three quarters before Q4 2023 was $1.87 million (Q3 2023), $1.52 million (Q2 2023) and $1.17 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,990.55 Bn | 4,738.04 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.30 Bn | 360.22 Bn | 11.06 Bn |
| 3 | Dell Technologies | 312.10 Bn | 267.86 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.50 Bn | 183.96 Bn | 1.91 Bn |
| 5 | Sandisk | 199.98 Bn | 188.50 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 151.23 Bn | 146.22 Bn | 1.90 Bn |
| 7 | Sony | 150.30 Bn | 87.56 Bn | 6.53 Bn |
| 8 | Western Digital | 127.14 Bn | 115.27 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 77.20 Bn | 55.08 Bn | 4.93 Bn |
| 10 | M-tron Industries | 278.19 Mn | 90.76 Mn | 6.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | 1.87 Mn |
| Jun 30, 2023 | 1.52 Mn |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 1.01 Mn |
| Sep 30, 2022 | 1.19 Mn |
| Dec 31, 2021 | 970,000.00 |
| Sep 30, 2021 | 791,000.00 |
API Access
M-tron Industries Finished Goods 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=finished-goods&ticker=MPTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=MPTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();