Liquidity Services (LQDT) Operating Expenses (2010 - 2026)
Liquidity Services (LQDT) posted Operating Expenses of $115.44 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.3% from $109.66 million a year earlier and up 3.9% from the prior quarter.
Liquidity Services (LQDT) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Liquidity Services was $445.53 million, up 2.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $441.6 million, up 29.9% from FY2024.
- Annual Operating Expenses has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- In prior fiscal years, Liquidity Services' Operating Expenses was $339.91 million in FY2024 (+17.9%), $288.36 million in FY2023 (+23.9%), $232.65 million in FY2022 (+1.0%) and $230.36 million in FY2021 (+9.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q4 2015.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 21.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2025, with growth of 65.4%; the weakest was fiscal Q3 2022, with a decline of 16.2%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $111.11 million (Q2 2026), $111.85 million (Q1 2026) and $107.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 115.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.44 Mn |
| Mar 31, 2026 | 111.11 Mn |
| Dec 31, 2025 | 111.85 Mn |
| Sep 30, 2025 | 107.13 Mn |
| Jun 30, 2025 | 109.66 Mn |
| Mar 31, 2025 | 109.57 Mn |
| Dec 31, 2024 | 115.24 Mn |
| Sep 30, 2024 | 99.66 Mn |
| Jun 30, 2024 | 85.72 Mn |
| Mar 31, 2024 | 84.86 Mn |
| Dec 31, 2023 | 69.68 Mn |
| Sep 30, 2023 | 72.08 Mn |
| Jun 30, 2023 | 72.52 Mn |
| Mar 31, 2023 | 76.21 Mn |
| Dec 31, 2022 | 67.56 Mn |
| Sep 30, 2022 | 63.96 Mn |
| Jun 30, 2022 | 51.17 Mn |
| Mar 31, 2022 | 55.29 Mn |
| Dec 31, 2021 | 62.22 Mn |
| Sep 30, 2021 | 62.02 Mn |
Liquidity Services 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=LQDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LQDT", "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=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();