LiveOne (LVO) Other Accumulated Expenses (2011 - 2026)
LiveOne's Other Accumulated Expenses came in at $1.97 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 62.0% from $5.19 million a year earlier and down 43.2% from the prior quarter.
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Analysis
LiveOne (LVO) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), LiveOne's Other Accumulated Expenses was $3.48 million, down 36.7% from FY2025.
- Other Accumulated Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -22.4% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $5.49 million in FY2025 (-49.5%), $10.86 million in FY2024 (-15.3%), $12.83 million in FY2023 (-5.2%) and $13.53 million in FY2022 (+9.6%).
- The fiscal Q1 2027 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q4 2016.
- Year-over-year, Other Accumulated Expenses has declined for seven consecutive quarters, with an average decline of 46.1% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2024 (growth of 46.4%), and the weakest in fiscal Q2 2026 (a decline of 64.4%).
- Business Quant data shows LVO's Other Accumulated Expenses at $3.48 million (Q4 2026), $3.92 million (Q3 2026) and $4.76 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | LiveOne | 35.85 Mn | 10.16 Mn | 3.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.97 Mn |
| Mar 31, 2026 | 3.48 Mn |
| Dec 31, 2025 | 3.92 Mn |
| Sep 30, 2025 | 4.76 Mn |
| Jun 30, 2025 | 5.19 Mn |
| Mar 31, 2025 | 5.49 Mn |
| Dec 31, 2024 | 8.35 Mn |
| Sep 30, 2024 | 13.36 Mn |
| Jun 30, 2024 | 12.73 Mn |
| Mar 31, 2024 | 10.86 Mn |
| Dec 31, 2023 | 15.45 Mn |
| Sep 30, 2023 | 13.09 Mn |
| Jun 30, 2023 | 12.38 Mn |
| Mar 31, 2023 | 12.83 Mn |
| Dec 31, 2022 | 10.56 Mn |
| Sep 30, 2022 | 9.19 Mn |
| Jun 30, 2022 | 16.90 Mn |
| Mar 31, 2022 | 13.53 Mn |
| Dec 31, 2021 | 12.63 Mn |
| Sep 30, 2021 | 11.97 Mn |
API Access
LiveOne Other Accumulated 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=other-accumulated-expenses&ticker=LVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LVO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();