Wingstop (WING) Long-Term Debt Issuances (2015 - 2022)
Wingstop's Long-Term Debt Issuances came in at $500 million for FY2024.
Analysis
Wingstop (WING) Long-Term Debt Issuances (2015 - 2022) Analysis & Trends
Going back to FY2013, Wingstop's Long-Term Debt Issuances data covers 9 years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of 151.2% (FY2019 to FY2024).
- The FY2024 figure represents the highest annual Long-Term Debt Issuances since FY2018.
- Per Business Quant, earlier years put Long-Term Debt Issuances at $250 million in FY2022 and $496 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | - |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Wingstop | 4.53 Bn | 3.98 Bn | 157.92 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2022 | 250.00 Mn |
| Dec 26, 2020 | 480.00 Mn |
| Mar 28, 2020 | 16.00 Mn |
| Sep 28, 2019 | 5.00 Mn |
| Dec 29, 2018 | 320.00 Mn |
| Sep 29, 2018 | 1.00 Mn |
| Jun 30, 2018 | 1.00 Mn |
| Mar 31, 2018 | 229.11 Mn |
| Sep 30, 2017 | 3.50 Mn |
| Sep 24, 2016 | 165.00 Mn |
| Mar 28, 2015 | 40.00 Mn |
API Access
Wingstop Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=WING&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=WING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();