Emerson Radio (MSN) Operating Expenses (2010 - 2026)
Emerson Radio (MSN) posted Operating Expenses of $1.74 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 41.7% from $2.98 million a year earlier and down 43.3% from the prior quarter.
Emerson Radio (MSN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Emerson Radio was $9.94 million, down 37.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $11.18 million, down 31.8% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.8% (FY2021 to FY2026).
- In prior fiscal years, Emerson Radio's Operating Expenses was $16.4 million in FY2025 (+31.5%), $12.47 million in FY2024 (+34.5%), $9.27 million in FY2023 (-20.4%) and $11.65 million in FY2022 (-0.1%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has declined in each of the last five quarters, with an average decline of 8.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 64.4%; the weakest was fiscal Q3 2026, with a decline of 42.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $3.07 million (Q4 2026), $2.72 million (Q3 2026) and $2.41 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Emerson Radio | 8.63 Mn | -42.01 Mn | 520,000.00 | 1.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.74 Mn |
| Mar 31, 2026 | 3.07 Mn |
| Dec 31, 2025 | 2.72 Mn |
| Sep 30, 2025 | 2.41 Mn |
| Jun 30, 2025 | 2.98 Mn |
| Mar 31, 2025 | 4.39 Mn |
| Dec 31, 2024 | 4.74 Mn |
| Sep 30, 2024 | 3.86 Mn |
| Jun 30, 2024 | 3.42 Mn |
| Mar 31, 2024 | 3.35 Mn |
| Dec 31, 2023 | 3.35 Mn |
| Sep 30, 2023 | 3.10 Mn |
| Jun 30, 2023 | 2.67 Mn |
| Mar 31, 2023 | 2.04 Mn |
| Dec 31, 2022 | 2.41 Mn |
| Sep 30, 2022 | 2.60 Mn |
| Jun 30, 2022 | 2.22 Mn |
| Mar 31, 2022 | 2.65 Mn |
| Dec 31, 2021 | 3.30 Mn |
| Sep 30, 2021 | 2.71 Mn |
Emerson Radio 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=MSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MSN", "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=MSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();