Liquidity Services (LQDT) Tax Provisions (2010 - 2026)
Liquidity Services (LQDT) reported Tax Provisions of $5.07 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.6% from $3.89 million a year earlier and up 61.0% from the prior quarter.
Liquidity Services (LQDT) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidity Services' Tax Provisions came in at $15.68 million, up 71.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $11.35 million, up 56.1% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 69.9% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $7.27 million in FY2024 (-9.6%), $8.04 million in FY2023 (+9.7%), $7.33 million in FY2022 and -$23.37 million in FY2021.
- The fiscal Q3 2026 figure ranks as the highest quarterly Tax Provisions since fiscal Q4 2016.
- Year over year, Tax Provisions has now increased in each of the last five quarters, with growth averaging 84.7% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2022 (growth of 408.9%); the low point was fiscal Q2 2025 (a decline of 56.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.15 million (Q2 2026), $3.03 million (Q1 2026) and $4.43 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 26.56 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 2.91 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 667.17 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -1.89 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 273.00 Mn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 840.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 610.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -898.00 Mn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 203.41 Mn |
| 10 | Liquidity Services | 1.34 Bn | 535.67 Mn | 63.84 Mn | 5.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.07 Mn |
| Mar 31, 2026 | 3.15 Mn |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 4.43 Mn |
| Jun 30, 2025 | 3.89 Mn |
| Mar 31, 2025 | 655,000.00 |
| Dec 31, 2024 | 2.38 Mn |
| Sep 30, 2024 | 2.20 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 1.49 Mn |
| Dec 31, 2023 | 881,000.00 |
| Sep 30, 2023 | 2.77 Mn |
| Jun 30, 2023 | 2.54 Mn |
| Mar 31, 2023 | 1.57 Mn |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 3.08 Mn |
| Jun 30, 2022 | 2.18 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.01 Mn |
| Sep 30, 2021 | -24.50 Mn |
Liquidity Services Tax Provisions 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=tax-provisions&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();