Mcdonalds (MCD) Price to Book (2009 - 2018)
Mcdonalds' Price to Book came in at 26.02 for Q1 2018.
Analysis
Mcdonalds (MCD) Price to Book (2009 - 2018) Analysis & Trends
For FY2015, Mcdonalds' Price to Book was 15.03, up 114.5% from FY2014.
- Price to Book has increased in each of the last three years.
- Going back by year, Price to Book was 7.01 in FY2014 (+16.8%), 6.00 in FY2013 (+3.7%), 5.78 in FY2012 (-18.6%) and 7.10 in FY2011 (+29.8%).
- The Q1 2018 figure represents the highest quarterly Price to Book since Q2 2016.
- The fastest year-over-year change in Price to Book over five years came in Q1 2016 (growth of 248.7%), and the weakest in Q1 2014 (a decline of 8.6%).
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 |
|---|---|
| Mar 31, 2018 | 26.02 |
| Jun 30, 2016 | 160.46 |
| Mar 31, 2016 | 28.56 |
| Dec 31, 2015 | 15.03 |
| Sep 30, 2015 | 10.89 |
| Jun 30, 2015 | 8.48 |
| Mar 31, 2015 | 8.19 |
| Dec 31, 2014 | 7.01 |
| Sep 30, 2014 | 6.77 |
| Jun 30, 2014 | 6.12 |
| Mar 31, 2014 | 6.00 |
| Dec 31, 2013 | 6.00 |
| Sep 30, 2013 | 6.31 |
| Jun 30, 2013 | 6.52 |
| Mar 31, 2013 | 6.56 |
| Dec 31, 2012 | 5.78 |
| Sep 30, 2012 | 6.63 |
| Jun 30, 2012 | 6.36 |
| Mar 31, 2012 | 6.80 |
| Dec 31, 2011 | 7.10 |
API Access
Mcdonalds Price to Book 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=price-to-book&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();