Liquidity Services (LQDT) Shares Outstanding (Diluted) (2010 - 2026)
Liquidity Services (LQDT) recorded Shares Outstanding (Diluted) of 32.85 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.1% from 32.5 million a year earlier and up 1.1% from the prior quarter.
Liquidity Services (LQDT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Liquidity Services reported Shares Outstanding (Diluted) of 32.41 million, up 2.5% from FY2024.
- Annual Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 31.63 million in FY2024 (-1.4%), 32.07 million in FY2023 (-4.9%), 33.72 million in FY2022 (-3.7%) and 35.02 million in FY2021 (+4.2%).
- The fiscal Q3 2026 figure is the highest quarterly Shares Outstanding (Diluted) since fiscal Q1 2023.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in six of the last eight quarters, with growth averaging 1.2%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 4.2% in fiscal Q4 2021, against a decline of 6.7% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 32.48 million (Q2 2026), 32.3 million (Q1 2026) and 32.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 753.00 Mn |
| 10 | Liquidity Services | 1.36 Bn | 557.38 Mn | 63.84 Mn | 32.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.85 Mn |
| Mar 31, 2026 | 32.48 Mn |
| Dec 31, 2025 | 32.30 Mn |
| Sep 30, 2025 | 32.41 Mn |
| Jun 30, 2025 | 32.50 Mn |
| Mar 31, 2025 | 32.52 Mn |
| Dec 31, 2024 | 32.20 Mn |
| Sep 30, 2024 | 31.63 Mn |
| Jun 30, 2024 | 31.46 Mn |
| Mar 31, 2024 | 31.46 Mn |
| Dec 31, 2023 | 31.94 Mn |
| Sep 30, 2023 | 32.07 Mn |
| Jun 30, 2023 | 31.51 Mn |
| Mar 31, 2023 | 32.12 Mn |
| Dec 31, 2022 | 32.94 Mn |
| Sep 30, 2022 | 33.72 Mn |
| Jun 30, 2022 | 33.08 Mn |
| Mar 31, 2022 | 34.00 Mn |
| Dec 31, 2021 | 34.87 Mn |
| Sep 30, 2021 | 35.02 Mn |
Liquidity Services Shares Outstanding (Diluted) 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-diluted&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();