Dine Brands Global (DIN) Net Margin (2010 - 2026)
Dine Brands Global's Net Margin came in at 1.74% for Q2 2026, down 3.98 percentage points from 5.72% a year earlier and down 1.45 percentage points from the prior quarter.
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Analysis
Dine Brands Global (DIN) Net Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Dine Brands Global reported Net Margin of 0.70%, down 4.57 percentage points year-over-year; for FY2025, it was 1.82%, down 5.94 percentage points from FY2024.
- Net Margin carries a five-year change of +16.97 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was 7.76% in FY2024 (-3.66 pp), 11.42% in FY2023 (+2.74 pp), 8.68% in FY2022 (-1.98 pp) and 10.66% in FY2021 (+25.81 pp).
- The five-year range for quarterly Net Margin is -5.56% (Q4 2025) to 15.66% (Q4 2023).
- Year-over-year, Net Margin has declined for seven consecutive quarters, with an average year-over-year change of -5.13 percentage points over the last eight quarters.
- The fastest year-over-year change in Net Margin over five years came in Q4 2023 (a gain of 10.36 percentage points), and the weakest in Q4 2024 (a drop of 13.20 percentage points).
- Business Quant data shows DIN's Net Margin at 3.20% (Q1 2026), -5.56% (Q4 2025) and 3.23% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 33.27% |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 11.21% |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 12.05% |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 39.33% |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 20.12% |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 10.89% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 26.39% |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 7.78% |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 7.26% |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 1.74% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.74% |
| Mar 29, 2026 | 3.20% |
| Dec 28, 2025 | -5.56% |
| Sep 30, 2025 | 3.23% |
| Jun 29, 2025 | 5.72% |
| Mar 30, 2025 | 3.63% |
| Dec 29, 2024 | 2.46% |
| Sep 30, 2024 | 9.49% |
| Jun 30, 2024 | 10.90% |
| Mar 31, 2024 | 8.22% |
| Dec 31, 2023 | 15.66% |
| Sep 30, 2023 | 8.91% |
| Jun 30, 2023 | 8.54% |
| Mar 31, 2023 | 12.50% |
| Dec 31, 2022 | 5.30% |
| Sep 30, 2022 | 8.74% |
| Jun 30, 2022 | 9.79% |
| Mar 31, 2022 | 10.52% |
| Dec 31, 2021 | 8.45% |
| Sep 30, 2021 | 9.89% |
API Access
Dine Brands Global Net 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=net-margin&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();