Liquidity Services (LQDT) Net Cash Flow (2010 - 2026)
Liquidity Services' Net Cash Flow came in at $24.43 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 46.7% from $16.65 million a year earlier but down 4.8% from the prior quarter.
Liquidity Services (LQDT) Net Cash Flow (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Liquidity Services reported Net Cash Flow of $64.31 million, up 147.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $21.96 million, down 48.9% from FY2024.
- Net Cash Flow carries a five-year compound annual growth rate of -11.0% (FY2020 to FY2025).
- Going back by fiscal year, Net Cash Flow was $42.94 million in FY2024 (+217.6%), $13.52 million in FY2023, -$8.19 million in FY2022 and $29.76 million in FY2021 (-24.5%).
- The five-year range for quarterly Net Cash Flow is -$23.42 million (fiscal Q1 2025) to $25.65 million (fiscal Q2 2026).
- Year-over-year, Net Cash Flow increased in three of the last six quarters, with growth averaging 42.2%.
- The fastest year-over-year change in Net Cash Flow over five years came in fiscal Q3 2024 (growth of 826.3%), and the weakest in fiscal Q3 2022 (a decline of 81.1%).
- Business Quant data shows LQDT's Net Cash Flow at $25.65 million (Q2 2026), -$4.91 million (Q1 2026) and $19.14 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 17.88 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | -1.82 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | -3.14 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 1.98 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | -188.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | -987.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 1.44 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 836.52 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 767.16 Mn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 24.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.43 Mn |
| Mar 31, 2026 | 25.65 Mn |
| Dec 31, 2025 | -4.91 Mn |
| Sep 30, 2025 | 19.14 Mn |
| Jun 30, 2025 | 16.65 Mn |
| Mar 31, 2025 | 9.59 Mn |
| Dec 31, 2024 | -23.42 Mn |
| Sep 30, 2024 | 23.19 Mn |
| Jun 30, 2024 | 21.70 Mn |
| Mar 31, 2024 | 10.29 Mn |
| Dec 31, 2023 | -12.25 Mn |
| Sep 30, 2023 | 12.45 Mn |
| Jun 30, 2023 | 2.34 Mn |
| Mar 31, 2023 | 19.37 Mn |
| Dec 31, 2022 | -20.65 Mn |
| Sep 30, 2022 | 9.12 Mn |
| Jun 30, 2022 | 4.74 Mn |
| Mar 31, 2022 | -7.06 Mn |
| Dec 31, 2021 | -14.99 Mn |
| Sep 30, 2021 | -6.04 Mn |
Liquidity Services Net Cash Flow 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=net-cash-flow&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();