Mcdonalds (MCD) Short term Debt (2009 - 2023)
Mcdonalds' Short term Debt came in at $2.19 billion for Q4 2023.
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Analysis
Mcdonalds (MCD) Short term Debt (2009 - 2023) Analysis & Trends
Going back to Q2 2009, Mcdonalds' Short term Debt data covers 31 quarters.
- Short term Debt carries a four-year compound annual growth rate of 146.8% (FY2019 to FY2023).
- Going back by year, Short term Debt was $2.24 billion in FY2020 and $59.1 million in FY2019.
- The Q4 2023 figure represents the highest quarterly Short term Debt since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 2.19 Bn |
| Sep 30, 2021 | 500.00 Mn |
| Jun 30, 2021 | 500.00 Mn |
| Mar 31, 2021 | 900.00 Mn |
| Dec 31, 2020 | 2.24 Bn |
| Sep 30, 2020 | 4.09 Bn |
| Jun 30, 2020 | 3.09 Bn |
| Mar 31, 2020 | 106.00 Mn |
| Dec 31, 2019 | 59.10 Mn |
| Jun 30, 2018 | 292.20 Mn |
| Sep 30, 2017 | 215.80 Mn |
| Jun 30, 2017 | 209.90 Mn |
| Mar 31, 2017 | 222.90 Mn |
| Dec 31, 2016 | 77.20 Mn |
| Sep 30, 2014 | 613.30 Mn |
| Jun 30, 2014 | 539.20 Mn |
| Mar 31, 2014 | 101.40 Mn |
| Sep 30, 2012 | 512.10 Mn |
| Jun 30, 2012 | 852.90 Mn |
| Mar 31, 2012 | 724.20 Mn |
API Access
Mcdonalds Short term Debt 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=short-term-debt&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "MCD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();