Liquidity Services (LQDT) Total Liabilities (2010 - 2026)
Liquidity Services' Total Liabilities was $184.24 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.5% from $163.79 million a year earlier and up 3.3% from the prior quarter.
Liquidity Services (LQDT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Liquidity Services came in at $171.86 million, up 4.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $164.33 million in FY2024 (+28.9%), $127.44 million in FY2023 (-4.6%), $133.57 million in FY2022 (+10.8%) and $120.56 million in FY2021 (+42.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for ten straight quarters, with growth averaging 14.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2022 (growth of 66.1%); the worst was fiscal Q1 2023 (a decline of 23.7%).
- Per Business Quant data, LQDT's Total Liabilities in the three fiscal quarters before Q3 2026 was $178.34 million (Q2 2026), $153.88 million (Q1 2026) and $171.86 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 31.67 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.23 Bn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 184.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 184.24 Mn |
| Mar 31, 2026 | 178.34 Mn |
| Dec 31, 2025 | 153.88 Mn |
| Sep 30, 2025 | 171.86 Mn |
| Jun 30, 2025 | 163.79 Mn |
| Mar 31, 2025 | 162.47 Mn |
| Dec 31, 2024 | 144.05 Mn |
| Sep 30, 2024 | 164.33 Mn |
| Jun 30, 2024 | 153.57 Mn |
| Mar 31, 2024 | 139.73 Mn |
| Dec 31, 2023 | 113.05 Mn |
| Sep 30, 2023 | 127.44 Mn |
| Jun 30, 2023 | 127.22 Mn |
| Mar 31, 2023 | 132.02 Mn |
| Dec 31, 2022 | 114.25 Mn |
| Sep 30, 2022 | 133.57 Mn |
| Jun 30, 2022 | 138.14 Mn |
| Mar 31, 2022 | 143.83 Mn |
| Dec 31, 2021 | 149.80 Mn |
| Sep 30, 2021 | 120.56 Mn |
Liquidity Services Total Liabilities 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=total-liabilities&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();