Liquidity Services (LQDT) Dividends payables (2010 - 2019)
Liquidity Services (LQDT) recorded Dividends payables of $1.68 million in fiscal Q4 2019 (quarter ended Sep 30, 2019), down 21.3% from $2.13 million a year earlier and down 8.3% from the prior quarter.
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Analysis
Liquidity Services (LQDT) Dividends payables (2010 - 2019) Analysis & Trends
Starting with fiscal Q4 2010, Liquidity Services' Dividends payables history includes 35 quarters.
- Annual Dividends payables has a five-year compound annual growth rate of -18.8% (FY2014 to FY2019).
- Across earlier fiscal years, Dividends payables came in at $2.13 million in FY2018 (-30.9%), $3.08 million in FY2017 (+78.9%), $1.72 million in FY2016 (-31.4%) and $2.51 million in FY2015 (-47.0%).
- Quarterly Dividends payables has ranged from $1.34 million in fiscal Q1 2016 to $9.93 million in fiscal Q3 2017 over the past five years.
- On a year-over-year basis, Dividends payables has declined for eight consecutive quarters, with an average decline of 39.6% over the last eight quarters.
- Peak year-over-year performance for Dividends payables in the last five years was growth of 555.9% in fiscal Q3 2017, against a decline of 77.5% in fiscal Q3 2018 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.83 million (Q3 2019), $1.61 million (Q2 2019) and $1.52 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | - |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | - |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | - |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | Liquidity Services | 1.36 Bn | 557.38 Mn | 63.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 1.68 Mn |
| Jun 30, 2019 | 1.83 Mn |
| Mar 31, 2019 | 1.61 Mn |
| Dec 31, 2018 | 1.52 Mn |
| Sep 30, 2018 | 2.13 Mn |
| Jun 30, 2018 | 2.24 Mn |
| Mar 31, 2018 | 2.58 Mn |
| Dec 31, 2017 | 2.39 Mn |
| Sep 30, 2017 | 3.08 Mn |
| Jun 30, 2017 | 9.93 Mn |
| Mar 31, 2017 | 4.74 Mn |
| Dec 31, 2016 | 4.69 Mn |
| Sep 30, 2016 | 1.72 Mn |
| Jun 30, 2016 | 1.51 Mn |
| Mar 31, 2016 | 1.50 Mn |
| Dec 31, 2015 | 1.34 Mn |
| Sep 30, 2015 | 2.51 Mn |
| Jun 30, 2015 | 2.69 Mn |
| Mar 31, 2015 | 5.03 Mn |
| Dec 31, 2014 | 4.35 Mn |
API Access
Liquidity Services Dividends payables 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=dividends-payables&ticker=LQDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=LQDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();