Dine Brands Global (DIN) Gross Margin (2010 - 2026)
Dine Brands Global (DIN) recorded Gross Margin of 37.86% in Q2 2026, down 2.09 percentage points from 39.95% a year earlier and down 0.91 percentage points from the prior quarter.
Powered by 
Analysis
Dine Brands Global (DIN) Gross Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Gross Margin came in at 39.48% as of Jun 28, 2026, down 3.23 percentage points year-over-year; for FY2025, it was 40.86%, down 5.34 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +4.78 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 46.20% in FY2024 (-1.53 pp), 47.73% in FY2023 (+6.24 pp), 41.50% in FY2022 (-0.37 pp) and 41.87% in FY2021 (+5.79 pp).
- The Q2 2026 figure is the lowest quarterly Gross Margin since Q4 2020.
- On a year-over-year basis, Gross Margin rose in 1 of the last eight quarters, with an average year-over-year change of -4.12 percentage points.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 8.21 percentage points in Q1 2023, against a drop of 8.73 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 38.77% (Q1 2026), 42.38% (Q4 2025) and 39.11% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 90.42% |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 67.73% |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 54.64% |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -3.06% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 54.64% |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 17.11% |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 37.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 37.86% |
| Mar 29, 2026 | 38.77% |
| Dec 28, 2025 | 42.38% |
| Sep 30, 2025 | 39.11% |
| Jun 29, 2025 | 39.95% |
| Mar 30, 2025 | 42.04% |
| Dec 29, 2024 | 41.65% |
| Sep 30, 2024 | 47.85% |
| Jun 30, 2024 | 48.13% |
| Mar 31, 2024 | 47.24% |
| Dec 31, 2023 | 47.72% |
| Sep 30, 2023 | 48.02% |
| Jun 30, 2023 | 46.71% |
| Mar 31, 2023 | 48.46% |
| Dec 31, 2022 | 45.48% |
| Sep 30, 2022 | 40.45% |
| Jun 30, 2022 | 40.24% |
| Mar 31, 2022 | 40.25% |
| Dec 31, 2021 | 42.00% |
| Sep 30, 2021 | 41.36% |
API Access
Dine Brands Global Gross Margin 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=gross-margin&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "DIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();