Liquidity Services (LQDT) Cost of Revenue (2010 - 2026)
Liquidity Services (LQDT) reported Cost of Revenue of $65.74 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.0% from $65.11 million a year earlier and up 1.4% from the prior quarter.
Liquidity Services (LQDT) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidity Services' Cost of Revenue came in at $256.42 million, down 3.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $267.85 million, up 50.4% from FY2024.
- Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 22.8% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $178.15 million in FY2024 (+25.2%), $142.32 million in FY2023 (+19.2%), $119.41 million in FY2022 (+10.9%) and $107.68 million in FY2021 (+12.1%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue since fiscal Q2 2025.
- Year over year, Cost of Revenue gained in six of the last eight quarters, with growth averaging 36.0%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2025 (growth of 128.9%); the low point was fiscal Q1 2026 (a decline of 11.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $64.86 million (Q2 2026), $64.19 million (Q1 2026) and $61.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 51.42 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 13.37 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 6.08 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 24.48 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.96 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 8.35 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 240.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 3.83 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | Liquidity Services | 1.36 Bn | 557.38 Mn | 63.84 Mn | 65.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.74 Mn |
| Mar 31, 2026 | 64.86 Mn |
| Dec 31, 2025 | 64.19 Mn |
| Sep 30, 2025 | 61.63 Mn |
| Jun 30, 2025 | 65.11 Mn |
| Mar 31, 2025 | 68.95 Mn |
| Dec 31, 2024 | 72.16 Mn |
| Sep 30, 2024 | 58.19 Mn |
| Jun 30, 2024 | 44.21 Mn |
| Mar 31, 2024 | 44.22 Mn |
| Dec 31, 2023 | 31.53 Mn |
| Sep 30, 2023 | 34.98 Mn |
| Jun 30, 2023 | 35.20 Mn |
| Mar 31, 2023 | 40.37 Mn |
| Dec 31, 2022 | 31.77 Mn |
| Sep 30, 2022 | 33.75 Mn |
| Jun 30, 2022 | 28.93 Mn |
| Mar 31, 2022 | 28.97 Mn |
| Dec 31, 2021 | 27.76 Mn |
| Sep 30, 2021 | 30.18 Mn |
Liquidity Services Cost of Revenue 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=cost-of-revenue&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();