Mcdonalds (MCD) Price to Book (2009 - 2026)
Mcdonalds' (MCD) quarterly Price to Book came in at 186.98 in Q2 2026, down 147.52% on a YoY basis from 393.46 in Q2 2025, and down 8.89% quarter-over-quarter from 171.71 in Q1 2026.
Powered by 
Analysis
Mcdonalds (MCD) Price to Book (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Price to Book for 18 consecutive years, with 186.98 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book fell 147.52% year-over-year to 186.98; the trailing twelve-month figure through Jun 2026 stood at 186.98 (down 147.52% YoY), and the FY2025 full-year result was 121.23, down 122.24% from the prior year.
- Price to Book fell to 186.98 in Q2 2026 per MCD's latest filing, from 171.71 in the prior quarter.
- Across five years, Price to Book topped out at 25.74 in Q3 2022 and bottomed at 186.98 in Q2 2026.
- Historically, Price to Book has averaged 65.41 across 5 years, with a median of 42.83 in 2023.
- The sharpest annual moves came in 2022 and 2026: Price to Book climbed 25.88% in 2022, then sank 165.53% in 2026.
- Over 5 years, Price to Book stood at 32.11 in 2022, then slumped by 41.64% to 45.48 in 2023, then fell by 19.92% to 54.55 in 2024, then tumbled by 122.24% to 121.23 in 2025, then plunged by 54.24% to 186.98 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 186.98, 171.71, and 121.23 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 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 |
| 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 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -186.98 |
| Mar 31, 2026 | -171.71 |
| Dec 31, 2025 | -121.23 |
| Sep 30, 2025 | -100.05 |
| Jun 30, 2025 | -75.54 |
| Mar 31, 2025 | -64.67 |
| Dec 31, 2024 | -54.55 |
| Sep 30, 2024 | -42.15 |
| Jun 30, 2024 | -37.90 |
| Mar 31, 2024 | -42.04 |
| Dec 31, 2023 | -45.48 |
| Sep 30, 2023 | -39.36 |
| Jun 30, 2023 | -43.50 |
| Mar 31, 2023 | -35.34 |
| Dec 31, 2022 | -32.11 |
| Sep 30, 2022 | -25.74 |
| Jun 30, 2022 | -28.51 |
| Mar 31, 2022 | -30.53 |
| Dec 31, 2021 | -43.32 |
| Sep 30, 2021 | -31.75 |
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_KEYimport 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();