Wingstop (WING) Net Equity Issued and Repurchased (2015)
Wingstop's (WING) quarterly Net Equity Issued and Repurchased came in at $337000.0 in Q4 2015, up 393.04% quarter-over-quarter from -$115000.0 in Q3 2015.
Wingstop (WING) Net Equity Issued and Repurchased (2015) Analysis & Trends
Wingstop (WING) has reported Net Equity Issued and Repurchased for 1 consecutive years, with $337000.0 the latest figure, recorded in Q4 2015.
- For the quarter ending Q4 2015, Net Equity Issued and Repurchased changed N/A year-over-year to $337000.0; the trailing twelve-month figure through Dec 2016 stood at $222000.0 (changed 0.0% YoY), and the FY2015 full-year result was $35.0 million, changed N/A from the prior year.
- Net Equity Issued and Repurchased rose to $337000.0 in Q4 2015 per WING's latest filing, from -$115000.0 in the prior quarter.
- Across five years, Net Equity Issued and Repurchased topped out at $337000.0 in Q4 2015 and bottomed at -$115000.0 in Q3 2015.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 15.40 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | - |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | - |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 6.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | - |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | - |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | - |
| 10 | Wingstop | 2.67 Bn | 2.51 Bn | 160.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 26, 2015 | 337,000.00 |
| Sep 26, 2015 | -115,000.00 |
Wingstop Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "ticker": "WING", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=net-equity-issued-and-repurchased&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();