Franklin Wireless (FKWL) Operating Expenses (2010 - 2026)
Franklin Wireless (FKWL) posted Operating Expenses of $2.56 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.2% from $2.57 million a year earlier but up 24.1% from the prior quarter.
Franklin Wireless (FKWL) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Franklin Wireless' Operating Expenses came in at $8.93 million, down 17.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- In prior fiscal years, Franklin Wireless' Operating Expenses was $10.78 million in FY2025 (+14.1%), $9.45 million in FY2024 (+0.8%), $9.37 million in FY2023 (+6.6%) and $8.79 million in FY2022 (-8.9%).
- Quarterly Operating Expenses has run from a low of $1.99 million in fiscal Q2 2026 to a high of $3.32 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2025, with growth of 60.2%; the weakest was fiscal Q3 2026, with a decline of 37.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $2.06 million (Q3 2026), $1.99 million (Q2 2026) and $2.32 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,973.70 Bn | 4,721.19 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.27 Bn | 357.20 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 297.70 Bn | 253.45 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 229.14 Bn | 182.59 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 200.83 Bn | 189.36 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 150.33 Bn | 87.59 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 147.86 Bn | 142.86 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 125.50 Bn | 113.63 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.88 Bn | 52.76 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Franklin Wireless | 26.51 Mn | -96.15 Mn | 757,857.00 | 2.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.56 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 1.99 Mn |
| Sep 30, 2025 | 2.32 Mn |
| Jun 30, 2025 | 2.57 Mn |
| Mar 31, 2025 | 3.32 Mn |
| Dec 31, 2024 | 2.45 Mn |
| Sep 30, 2024 | 2.44 Mn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 2.39 Mn |
| Sep 30, 2023 | 2.10 Mn |
| Jun 30, 2023 | 2.33 Mn |
| Mar 31, 2023 | 2.52 Mn |
| Dec 31, 2022 | 2.31 Mn |
| Sep 30, 2022 | 2.21 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 2.44 Mn |
| Dec 31, 2021 | 2.13 Mn |
| Sep 30, 2021 | 2.10 Mn |
Franklin Wireless 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=FKWL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FKWL", "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=FKWL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();