Mcdonalds (MCD) Return on Sales [ROS] (2009 - 2026)
Mcdonalds (MCD) recorded Return on Sales [ROS] of 47.02% in Q2 2026, down 0.21 percentage points from 47.23% a year earlier but up 1.71 percentage points from the prior quarter.
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Analysis
Mcdonalds (MCD) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Mcdonalds' Return on Sales [ROS] came in at 46.22% as of Jun 30, 2026, up 0.42 percentage points year-over-year; for FY2025, it was 46.10%, up 0.91 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +7.97 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 45.19% in FY2024 (-0.50 pp), 45.69% in FY2023 (+5.26 pp), 40.42% in FY2022 (-4.17 pp) and 44.59% in FY2021 (+6.46 pp).
- Quarterly Return on Sales [ROS] has ranged from 29.93% in Q2 2022 to 48.16% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +0.47 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 17.83 percentage points in Q2 2023, against a drop of 15.77 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 45.31% (Q1 2026), 45.03% (Q4 2025) and 47.43% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 10.52% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 30.20% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 13.72% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 8.50% |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 20.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.02% |
| Mar 31, 2026 | 45.31% |
| Dec 31, 2025 | 45.03% |
| Sep 30, 2025 | 47.43% |
| Jun 30, 2025 | 47.23% |
| Mar 31, 2025 | 44.46% |
| Dec 31, 2024 | 44.90% |
| Sep 30, 2024 | 46.38% |
| Jun 30, 2024 | 44.99% |
| Mar 31, 2024 | 44.35% |
| Dec 31, 2023 | 43.74% |
| Sep 30, 2023 | 47.94% |
| Jun 30, 2023 | 47.77% |
| Mar 31, 2023 | 42.93% |
| Dec 31, 2022 | 43.58% |
| Sep 30, 2022 | 47.07% |
| Jun 30, 2022 | 29.93% |
| Mar 31, 2022 | 40.82% |
| Dec 31, 2021 | 39.89% |
| Sep 30, 2021 | 48.16% |
API Access
Mcdonalds Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();