Liquidity Services (LQDT) Cash & Equivalents (2010 - 2026)
Liquidity Services' Cash & Equivalents was $219.75 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 41.2% from $155.61 million a year earlier and up 12.5% from the prior quarter.
Liquidity Services (LQDT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Liquidity Services came in at $174.61 million, up 14.0% from FY2024.
- Cash & Equivalents has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $153.23 million in FY2024 (+38.9%), $110.28 million in FY2023 (+14.7%), $96.12 million in FY2022 (-9.6%) and $106.34 million in FY2021 (+39.8%).
- The fiscal Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q3 2010.
- Compared with a year earlier, Cash & Equivalents has increased for 14 straight quarters, with growth averaging 30.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2026 (growth of 41.2%); the worst was fiscal Q3 2022 (a decline of 21.6%).
- Per Business Quant data, LQDT's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $195.31 million (Q2 2026), $169.8 million (Q1 2026) and $174.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 56.33 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 11.22 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 8.19 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 21.06 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.87 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 9.56 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 3.17 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 6.84 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 15.81 Bn |
| 10 | Liquidity Services | 1.36 Bn | 557.38 Mn | 63.84 Mn | 219.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 219.75 Mn |
| Mar 31, 2026 | 195.31 Mn |
| Dec 31, 2025 | 169.80 Mn |
| Sep 30, 2025 | 174.61 Mn |
| Jun 30, 2025 | 155.61 Mn |
| Mar 31, 2025 | 138.49 Mn |
| Dec 31, 2024 | 128.70 Mn |
| Sep 30, 2024 | 153.23 Mn |
| Jun 30, 2024 | 130.31 Mn |
| Mar 31, 2024 | 108.63 Mn |
| Dec 31, 2023 | 98.56 Mn |
| Sep 30, 2023 | 110.28 Mn |
| Jun 30, 2023 | 98.15 Mn |
| Mar 31, 2023 | 95.58 Mn |
| Dec 31, 2022 | 76.17 Mn |
| Sep 30, 2022 | 96.12 Mn |
| Jun 30, 2022 | 88.29 Mn |
| Mar 31, 2022 | 84.26 Mn |
| Dec 31, 2021 | 91.32 Mn |
| Sep 30, 2021 | 106.34 Mn |
Liquidity Services Cash & Equivalents 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=cash-and-equivalents&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();