Mcdonalds (MCD) Price to Sales (2009 - 2026)
Mcdonalds' (MCD) quarterly Price to Sales came in at 26.95 in Q2 2026, down 11.56% on a YoY basis from 30.47 in Q2 2025, and down 20.48% quarter-over-quarter from 33.88 in Q1 2026.
Mcdonalds (MCD) Price to Sales (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Price to Sales for 18 consecutive years, with 26.95 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales fell 11.56% year-over-year to 26.95; the trailing twelve-month figure through Jun 2026 stood at 6.9 (down 13.7% YoY), and the FY2025 full-year result was 8.08, up 1.07% from the prior year.
- Price to Sales slipped to 26.95 in Q2 2026 per MCD's latest filing, from 33.88 in the prior quarter.
- Across five years, Price to Sales topped out at 37.5 in Q1 2025 and bottomed at 26.95 in Q2 2026.
- Historically, Price to Sales has averaged 31.72 across 5 years, with a median of 32.02 in 2022.
- The sharpest annual moves came in 2024 and 2025: Price to Sales decreased 15.84% in 2024, then gained 13.85% in 2025.
- Over 5 years, Price to Sales stood at 32.52 in 2022, then advanced by 2.76% to 33.42 in 2023, then decreased by 2.99% to 32.42 in 2024, then retreated by 4.46% to 30.98 in 2025, then decreased by 13.02% to 26.95 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 26.95, 33.88, and 30.98 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.95 |
| Mar 31, 2026 | 33.88 |
| Dec 31, 2025 | 30.98 |
| Sep 30, 2025 | 30.58 |
| Jun 30, 2025 | 30.47 |
| Mar 31, 2025 | 37.50 |
| Dec 31, 2024 | 32.42 |
| Sep 30, 2024 | 31.75 |
| Jun 30, 2024 | 28.17 |
| Mar 31, 2024 | 32.94 |
| Dec 31, 2023 | 33.42 |
| Sep 30, 2023 | 28.55 |
| Jun 30, 2023 | 33.47 |
| Mar 31, 2023 | 34.61 |
| Dec 31, 2022 | 32.52 |
| Sep 30, 2022 | 28.78 |
| Jun 30, 2022 | 31.76 |
| Mar 31, 2022 | 32.28 |
| Dec 31, 2021 | 33.17 |
| Sep 30, 2021 | 29.05 |
Mcdonalds Price to Sales 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-sales&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();