Liquidity Services (LQDT) Enterprise Value (2010 - 2026)
Liquidity Services (LQDT) reported Enterprise Value of $991.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 39.2% from $711.73 million a year earlier and up 33.0% from the prior quarter.
Liquidity Services (LQDT) Enterprise Value (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidity Services' Enterprise Value came in at $419.77 million, up 56.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $662.66 million, up 22.8% from FY2024.
- Enterprise Value has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- By fiscal year, Enterprise Value came in at $539.78 million in FY2024 (+4.1%), $518.66 million in FY2023 (+7.4%), $482.93 million in FY2022 (-26.8%) and $659.89 million in FY2021 (+270.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Enterprise Value since fiscal Q3 2013.
- Year over year, Enterprise Value gained in six of the last eight quarters, with growth averaging 25.8%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q4 2021 (growth of 270.3%); the low point was fiscal Q3 2022 (a decline of 50.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $745.39 million (Q2 2026), $747.19 million (Q1 2026) and $662.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 991.03 Mn |
| Mar 31, 2026 | 745.39 Mn |
| Dec 31, 2025 | 747.19 Mn |
| Sep 30, 2025 | 662.66 Mn |
| Jun 30, 2025 | 711.73 Mn |
| Mar 31, 2025 | 812.66 Mn |
| Dec 31, 2024 | 850.30 Mn |
| Sep 30, 2024 | 539.78 Mn |
| Jun 30, 2024 | 470.37 Mn |
| Mar 31, 2024 | 561.43 Mn |
| Dec 31, 2023 | 515.79 Mn |
| Sep 30, 2023 | 518.66 Mn |
| Jun 30, 2023 | 490.04 Mn |
| Mar 31, 2023 | 373.58 Mn |
| Dec 31, 2022 | 424.87 Mn |
| Sep 30, 2022 | 482.93 Mn |
| Jun 30, 2022 | 389.86 Mn |
| Mar 31, 2022 | 524.59 Mn |
| Dec 31, 2021 | 693.25 Mn |
| Sep 30, 2021 | 659.89 Mn |
Liquidity Services Enterprise Value 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=enterprise-value&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();