LiveOne (LVO) Operating Expenses (2010 - 2026)
LiveOne (LVO) posted Operating Expenses of $23.03 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 0.9% from $23.24 million a year earlier and down 3.4% from the prior quarter.
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Analysis
LiveOne (LVO) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at LiveOne was $92.41 million, down 24.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $92.62 million, down 30.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- In prior fiscal years, LiveOne's Operating Expenses was $132.46 million in FY2025 (+7.6%), $123.11 million in FY2024 (+20.9%), $101.8 million in FY2023 (-34.3%) and $154.87 million in FY2022 (+63.7%).
- Quarterly Operating Expenses has run from a low of $22.21 million in fiscal Q3 2026 to a high of $59.05 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last six quarters, with an average decline of 20.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2022, with growth of 60.4%; the weakest was fiscal Q1 2023, with a decline of 52.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $23.85 million (Q4 2026), $22.21 million (Q3 2026) and $23.33 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | LiveOne | 31.35 Mn | 5.67 Mn | 3.94 Mn | 23.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.03 Mn |
| Mar 31, 2026 | 23.85 Mn |
| Dec 31, 2025 | 22.21 Mn |
| Sep 30, 2025 | 23.33 Mn |
| Jun 30, 2025 | 23.24 Mn |
| Mar 31, 2025 | 30.05 Mn |
| Dec 31, 2024 | 34.56 Mn |
| Sep 30, 2024 | 33.99 Mn |
| Jun 30, 2024 | 33.86 Mn |
| Mar 31, 2024 | 32.06 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 31.04 Mn |
| Jun 30, 2023 | 28.02 Mn |
| Mar 31, 2023 | 26.41 Mn |
| Dec 31, 2022 | 27.88 Mn |
| Sep 30, 2022 | 24.52 Mn |
| Jun 30, 2022 | 22.99 Mn |
| Mar 31, 2022 | 31.69 Mn |
| Dec 31, 2021 | 42.86 Mn |
| Sep 30, 2021 | 31.59 Mn |
API Access
LiveOne 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=LVO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LVO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();