Paid (PAYD) Non Operating Interest Expenses (2009 - 2018)
Paid's Non Operating Interest Expenses came in at $666.00 for Q4 2013, down 31.3% from $969.00 a year earlier and down 16.8% from the prior quarter.
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Analysis
Paid (PAYD) Non Operating Interest Expenses (2009 - 2018) Analysis & Trends
For FY2013, Paid's Non Operating Interest Expenses was $3,166, down 45.1% from FY2012.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of 6.1% (FY2009 to FY2013).
- Going back by year, Non Operating Interest Expenses was $5,769 in FY2012 (+110.0%), $2,747 in FY2011 (+357.8%), $600.00 in FY2010 (-76.0%) and $2,500 in FY2009.
- The Q4 2013 figure represents the lowest quarterly Non Operating Interest Expenses since Q1 2011.
- Year-over-year, Non Operating Interest Expenses has declined for four consecutive quarters, with growth averaging 46.2% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2012 (growth of 325.0%), and the weakest in Q2 2013 (a decline of 55.6%).
- Business Quant data shows PAYD's Non Operating Interest Expenses at $800.00 (Q3 2013), $800.00 (Q2 2013) and $900.00 (Q1 2013) in the three quarters before Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | - |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | - |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 184.70 Mn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | -346.00 Mn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 152.00 Mn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 51.07 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | -33.36 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 311.00 Mn |
| 10 | Paid | 20.77 Mn | 16.48 Mn | 1.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -734.00 |
| Mar 31, 2018 | -964.00 |
| Sep 30, 2017 | -8,554.00 |
| Jun 30, 2017 | -1,356.00 |
| Mar 31, 2017 | -2,261.00 |
| Sep 30, 2016 | -229.00 |
| Jun 30, 2016 | -193.00 |
| Mar 31, 2016 | -257.00 |
| Sep 30, 2015 | -148.00 |
| Jun 30, 2015 | -206.00 |
| Mar 31, 2015 | -280.00 |
| Dec 31, 2013 | 666.00 |
| Sep 30, 2013 | 800.00 |
| Jun 30, 2013 | 800.00 |
| Mar 31, 2013 | 900.00 |
| Dec 31, 2012 | 969.00 |
| Sep 30, 2012 | 1,300.00 |
| Jun 30, 2012 | 1,800.00 |
| Mar 31, 2012 | 1,700.00 |
| Dec 31, 2011 | 747.00 |
API Access
Paid Non Operating Interest 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=non-operating-interest-expenses&ticker=PAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PAYD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();