Wytec International (WYTC) Operating Expenses (2016 - 2025)
Wytec International (WYTC) posted Operating Expenses of $460,772 for Q3 2025, down 34.4% from $702,608 a year earlier and down 31.3% from the prior quarter.
Wytec International (WYTC) Operating Expenses (2016 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Wytec International was $2.21 million, down 52.4% year-over-year; for FY2024, it came in at $3.16 million, down 0.4% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.8% (FY2019 to FY2024).
- In prior years, Wytec International's Operating Expenses was $3.17 million in FY2023 (+60.2%), $1.98 million in FY2022 (-47.0%), $3.74 million in FY2021 (+56.2%) and $2.39 million in FY2020 (-17.4%).
- The Q3 2025 figure stands as the lowest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 69.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2024, with growth of 316.1%; the weakest was Q4 2022, with a decline of 75.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $671,062 (Q2 2025), $544,484 (Q1 2025) and $529,306 (Q4 2024).
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 | Wytec International | 9.65 Mn | 8.97 Mn | 2,359.00 | 460,772.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 460,772.00 |
| Jun 30, 2025 | 671,062.00 |
| Mar 31, 2025 | 544,484.00 |
| Dec 31, 2024 | 529,306.00 |
| Sep 30, 2024 | 702,608.00 |
| Jun 30, 2024 | 565,427.00 |
| Mar 31, 2024 | 1.36 Mn |
| Dec 31, 2023 | 2.01 Mn |
| Sep 30, 2023 | 506,661.00 |
| Jun 30, 2023 | 332,855.00 |
| Mar 31, 2023 | 327,818.00 |
| Dec 31, 2022 | 529,942.00 |
| Sep 30, 2022 | 524,694.00 |
| Jun 30, 2022 | 438,624.00 |
| Mar 31, 2022 | 487,540.00 |
| Dec 31, 2021 | 2.17 Mn |
| Sep 30, 2021 | 584,321.00 |
| Jun 30, 2021 | 437,125.00 |
| Mar 31, 2021 | 544,861.00 |
| Dec 31, 2020 | 634,778.00 |
Wytec International 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=WYTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "WYTC", "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=WYTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();