GameStop (GME) Notes Payables (2013 - 2016)
GameStop (GME) recorded Notes Payables of $200,000 in fiscal Q1 2017 (quarter ended Apr 30, 2016), down 90.5% from $2.1 million a year earlier and down 50.0% from the prior quarter.
GameStop (GME) Notes Payables (2013 - 2016) Analysis & Trends
At the end of FY2016 (ended Jan 30, 2016), GameStop reported Notes Payables of $400,000, down 92.2% from FY2015.
- Across earlier fiscal years, Notes Payables came in at $5.1 million in FY2015 (+112.5%) and $2.4 million in FY2014.
- The fiscal Q1 2017 figure is the lowest quarterly Notes Payables in data going back to fiscal Q2 2014.
- On a year-over-year basis, Notes Payables has declined for five consecutive quarters, with an average decline of 1.4% over the last seven quarters.
- Per Business Quant, the preceding three fiscal quarters came in at $400,000 (Q4 2016), $900,000 (Q3 2016) and $12.5 million (Q2 2016).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn |
| 10 | GameStop | 11.84 Bn | -19.43 Bn | 345.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2016 | 200,000.00 |
| Jan 30, 2016 | 400,000.00 |
| Oct 31, 2015 | 900,000.00 |
| Aug 1, 2015 | 12.50 Mn |
| May 2, 2015 | 2.10 Mn |
| Jan 31, 2015 | 5.10 Mn |
| Nov 1, 2014 | 3.80 Mn |
| Aug 2, 2014 | 214.10 Mn |
| May 3, 2014 | 77.70 Mn |
| Feb 1, 2014 | 2.40 Mn |
| Aug 3, 2013 | 50.00 Mn |
GameStop Notes 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=notes-payables&ticker=GME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "ticker": "GME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=notes-payables&ticker=GME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();