Liquidity Services (LQDT) Change in Accured Expenses (2010 - 2026)
Liquidity Services (LQDT) recorded Change in Accured Expenses of $4.59 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 134.9% from $1.96 million a year earlier and up 153.6% from the prior quarter.
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Analysis
Liquidity Services (LQDT) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Liquidity Services' Change in Accured Expenses came in at $4.32 million as of Jun 30, 2026; for FY2025 (ended Sep 30, 2025), it was $2.52 million, down 40.2% from FY2024.
- Across earlier fiscal years, Change in Accured Expenses came in at $4.21 million in FY2024, $277,000 in FY2023, -$2.65 million in FY2022 and $6.06 million in FY2021.
- Quarterly Change in Accured Expenses has ranged from -$7.33 million in fiscal Q1 2026 to $6.24 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last five quarters, with growth averaging 31.2%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 806.3% in fiscal Q3 2022, against a decline of 91.7% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.81 million (Q2 2026), -$7.33 million (Q1 2026) and $5.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.31 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.93 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | -1.25 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | - |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 447.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 2.38 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | - |
| 10 | Liquidity Services | 1.35 Bn | 548.16 Mn | 63.84 Mn | 4.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.59 Mn |
| Mar 31, 2026 | 1.81 Mn |
| Dec 31, 2025 | -7.33 Mn |
| Sep 30, 2025 | 5.25 Mn |
| Jun 30, 2025 | 1.96 Mn |
| Mar 31, 2025 | 518,000.00 |
| Dec 31, 2024 | -5.21 Mn |
| Sep 30, 2024 | 417,000.00 |
| Jun 30, 2024 | 3.97 Mn |
| Mar 31, 2024 | 6.24 Mn |
| Dec 31, 2023 | -6.42 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | -4.22 Mn |
| Mar 31, 2023 | 3.21 Mn |
| Dec 31, 2022 | -1.74 Mn |
| Sep 30, 2022 | 3.30 Mn |
| Jun 30, 2022 | 2.17 Mn |
| Mar 31, 2022 | -2.93 Mn |
| Dec 31, 2021 | -5.19 Mn |
| Sep 30, 2021 | 3.82 Mn |
API Access
Liquidity Services Change in Accured Expenses 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=change-in-accured-expenses&ticker=LQDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();