Liquidity Services (LQDT) Revenue (2010 - 2026)
Liquidity Services (LQDT) recorded Revenue of $129.58 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.1% from $119.88 million a year earlier and up 7.3% from the prior quarter.
Liquidity Services (LQDT) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Liquidity Services' Revenue came in at $489.62 million as of Jun 30, 2026, up 5.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $476.67 million, up 31.2% from FY2024.
- Annual Revenue has increased for five straight fiscal years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $363.32 million in FY2024 (+15.5%), $314.46 million in FY2023 (+12.3%), $280.05 million in FY2022 (+8.7%) and $257.53 million in FY2021 (+25.1%).
- The fiscal Q3 2026 figure is the highest quarterly Revenue since fiscal Q2 2013.
- On a year-over-year basis, Revenue rose in seven of the last eight quarters, with growth averaging 22.7%.
- Peak year-over-year performance for Revenue in the last five years was growth of 71.5% in fiscal Q1 2025, against a decline of 1.3% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $120.73 million (Q2 2026), $121.22 million (Q1 2026) and $118.09 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 16.56 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 5.55 Bn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 129.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.58 Mn |
| Mar 31, 2026 | 120.73 Mn |
| Dec 31, 2025 | 121.22 Mn |
| Sep 30, 2025 | 118.09 Mn |
| Jun 30, 2025 | 119.88 Mn |
| Mar 31, 2025 | 116.38 Mn |
| Dec 31, 2024 | 122.33 Mn |
| Sep 30, 2024 | 106.93 Mn |
| Jun 30, 2024 | 93.61 Mn |
| Mar 31, 2024 | 91.45 Mn |
| Dec 31, 2023 | 71.33 Mn |
| Sep 30, 2023 | 79.96 Mn |
| Jun 30, 2023 | 80.77 Mn |
| Mar 31, 2023 | 81.45 Mn |
| Dec 31, 2022 | 72.28 Mn |
| Sep 30, 2022 | 75.20 Mn |
| Jun 30, 2022 | 69.87 Mn |
| Mar 31, 2022 | 68.28 Mn |
| Dec 31, 2021 | 66.71 Mn |
| Sep 30, 2021 | 70.33 Mn |
Liquidity Services Revenue 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=revenue&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();