Liquidity Services (LQDT) Capital Expenditures (2010 - 2026)
Liquidity Services (LQDT) reported Capital Expenditures of $1.77 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 15.9% from $2.1 million a year earlier and down 17.5% from the prior quarter.
Liquidity Services (LQDT) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Liquidity Services' Capital Expenditures came in at $8.19 million, down 5.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $7.8 million, down 12.4% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By fiscal year, Capital Expenditures came in at $8.91 million in FY2024 (+65.4%), $5.39 million in FY2023 (-33.7%), $8.12 million in FY2022 (+49.9%) and $5.42 million in FY2021 (+29.5%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Capital Expenditures since fiscal Q1 2024.
- Year over year, Capital Expenditures gained in five of the last eight quarters, with growth averaging 9.7%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q4 2021 (growth of 234.1%); the low point was fiscal Q3 2023 (a decline of 56.1%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $2.14 million (Q2 2026), $2.27 million (Q1 2026) and $2.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,463.18 Bn | 3,198.08 Bn | 76.16 Bn | 51.36 Bn |
| 2 | Meta Platforms | 1,546.58 Bn | 1,211.10 Bn | 51.23 Bn | 33.94 Bn |
| 3 | Netflix | 269.21 Bn | 230.51 Bn | 6.80 Bn | 278.77 Mn |
| 4 | Alibaba Group Holding | 251.07 Bn | 73.14 Bn | 15.16 Bn | -9.97 Bn |
| 5 | Shopify | 184.99 Bn | 163.79 Bn | 1.78 Bn | 2.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 111.49 Bn | 6.42 Bn | 104.00 Mn |
| 7 | Spotify Technology | 126.47 Bn | 83.39 Bn | 1.89 Bn | -6.90 Mn |
| 8 | Booking Holdings | 125.48 Bn | 59.22 Bn | - | 68.00 Mn |
| 9 | PDD Holdings | 119.49 Bn | -124.56 Bn | 9.48 Bn | - |
| 10 | Liquidity Services | 1.40 Bn | 594.71 Mn | 63.84 Mn | 1.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Mn |
| Mar 31, 2026 | 2.14 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 2.02 Mn |
| Jun 30, 2025 | 2.10 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 2.84 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 2.38 Mn |
| Dec 31, 2023 | 1.73 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.19 Mn |
| Mar 31, 2023 | 1.50 Mn |
| Dec 31, 2022 | 1.21 Mn |
| Sep 30, 2022 | 1.83 Mn |
| Jun 30, 2022 | 2.72 Mn |
| Mar 31, 2022 | 1.61 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.93 Mn |
Liquidity Services Capital Expenditures 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=capital-expenditures&ticker=LQDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();