Liquidity Services (LQDT) EBITDA (2010 - 2026)
Liquidity Services (LQDT) reported EBITDA of $16.82 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.6% from $12.88 million a year earlier and up 37.2% from the prior quarter.
Liquidity Services (LQDT) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidity Services' EBITDA came in at $54.66 million, up 30.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $45.48 million, up 28.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of 80.2% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $35.52 million in FY2024 (-4.9%), $37.36 million in FY2023 (-35.3%), $57.73 million in FY2022 (+69.1%) and $34.14 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly EBITDA since fiscal Q3 2022.
- Year over year, EBITDA has now increased in each of the last five quarters, with growth averaging 29.8% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2022 (growth of 113.3%); the low point was fiscal Q2 2023 (a decline of 48.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $12.26 million (Q2 2026), $11.95 million (Q1 2026) and $13.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 4.29 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 | 495.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 2.63 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 | 348.71 Mn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 16.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.82 Mn |
| Mar 31, 2026 | 12.26 Mn |
| Dec 31, 2025 | 11.95 Mn |
| Sep 30, 2025 | 13.63 Mn |
| Jun 30, 2025 | 12.88 Mn |
| Mar 31, 2025 | 9.37 Mn |
| Dec 31, 2024 | 9.60 Mn |
| Sep 30, 2024 | 10.09 Mn |
| Jun 30, 2024 | 11.09 Mn |
| Mar 31, 2024 | 9.79 Mn |
| Dec 31, 2023 | 4.55 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 11.12 Mn |
| Mar 31, 2023 | 8.05 Mn |
| Dec 31, 2022 | 7.49 Mn |
| Sep 30, 2022 | 14.02 Mn |
| Jun 30, 2022 | 21.34 Mn |
| Mar 31, 2022 | 15.59 Mn |
| Dec 31, 2021 | 6.79 Mn |
| Sep 30, 2021 | 10.03 Mn |
Liquidity Services EBITDA 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=ebitda&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();