Liquidity Services (LQDT) Shares Outstanding (2010 - 2026)
Liquidity Services' Shares Outstanding was 31.24 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.3% from 31.16 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Liquidity Services (LQDT) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Shares Outstanding at Liquidity Services came in at 30.93 million, up 1.4% from FY2024.
- Shares Outstanding shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier fiscal years, Shares Outstanding was 30.5 million in FY2024 (-1.9%), 31.08 million in FY2023 (-3.8%), 32.29 million in FY2022 (-3.1%) and 33.33 million in FY2021 (-0.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Shares Outstanding since fiscal Q2 2023.
- Compared with a year earlier, Shares Outstanding was higher in six of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Shares Outstanding over five years was fiscal Q3 2025 (growth of 2.5%); the worst was fiscal Q3 2022 (a decline of 4.4%).
- Per Business Quant data, LQDT's Shares Outstanding in the three fiscal quarters before Q3 2026 was 31.06 million (Q2 2026), 30.64 million (Q1 2026) and 30.93 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 12.15 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 4.19 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 2.32 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.30 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 2.04 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 768.00 Mn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 1.40 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 205.41 Mn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 592.00 Mn |
| 10 | Liquidity Services | 1.36 Bn | 560.97 Mn | 63.84 Mn | 31.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.24 Mn |
| Mar 31, 2026 | 31.06 Mn |
| Dec 31, 2025 | 30.64 Mn |
| Sep 30, 2025 | 30.93 Mn |
| Jun 30, 2025 | 31.16 Mn |
| Mar 31, 2025 | 31.01 Mn |
| Dec 31, 2024 | 30.64 Mn |
| Sep 30, 2024 | 30.50 Mn |
| Jun 30, 2024 | 30.39 Mn |
| Mar 31, 2024 | 30.50 Mn |
| Dec 31, 2023 | 30.61 Mn |
| Sep 30, 2023 | 31.08 Mn |
| Jun 30, 2023 | 30.61 Mn |
| Mar 31, 2023 | 31.31 Mn |
| Dec 31, 2022 | 31.82 Mn |
| Sep 30, 2022 | 32.29 Mn |
| Jun 30, 2022 | 31.91 Mn |
| Mar 31, 2022 | 32.56 Mn |
| Dec 31, 2021 | 32.97 Mn |
| Sep 30, 2021 | 33.33 Mn |
API Access
Liquidity Services Shares Outstanding 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=shares-outstanding&ticker=LQDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();