Emerson Radio (MSN) Total Liabilities (2011 - 2026)
Emerson Radio's Total Liabilities was $1.58 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 46.4% from $2.95 million a year earlier but up 9.6% from the prior quarter.
Emerson Radio (MSN) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Emerson Radio came in at $1.44 million, down 29.2% from FY2025.
- Total Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -16.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $2.04 million in FY2025 (-28.3%), $2.84 million in FY2024 (-52.0%), $5.91 million in FY2023 (+85.3%) and $3.19 million in FY2022 (-7.7%).
- Quarterly Total Liabilities has moved between $1.41 million (fiscal Q2 2026) and $6.76 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Total Liabilities has declined for 12 straight quarters, with an average decline of 26.0% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 115.7%); the worst was fiscal Q2 2024 (a decline of 66.7%).
- Per Business Quant data, MSN's Total Liabilities in the three fiscal quarters before Q1 2027 was $1.44 million (Q4 2026), $1.53 million (Q3 2026) and $1.41 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 551.41 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 2.66 Bn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 1.04 Bn |
| 10 | Emerson Radio | 8.63 Mn | -42.01 Mn | 520,000.00 | 1.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.58 Mn |
| Mar 31, 2026 | 1.44 Mn |
| Dec 31, 2025 | 1.53 Mn |
| Sep 30, 2025 | 1.41 Mn |
| Jun 30, 2025 | 2.95 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.19 Mn |
| Jun 30, 2024 | 3.20 Mn |
| Mar 31, 2024 | 2.84 Mn |
| Dec 31, 2023 | 3.11 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 5.64 Mn |
| Mar 31, 2023 | 5.91 Mn |
| Dec 31, 2022 | 6.65 Mn |
| Sep 30, 2022 | 6.76 Mn |
| Jun 30, 2022 | 3.15 Mn |
| Mar 31, 2022 | 3.19 Mn |
| Dec 31, 2021 | 3.42 Mn |
| Sep 30, 2021 | 3.13 Mn |
Emerson Radio Total Liabilities 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=total-liabilities&ticker=MSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();