Dine Brands Global (DIN) Cost of Revenue (2010 - 2026)
Dine Brands Global (DIN) reported Cost of Revenue of $149.7 million for Q2 2026, up 8.0% from $138.6 million a year earlier and up 8.6% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Dine Brands Global's Cost of Revenue came in at $544.48 million, up 12.4% year-over-year; for FY2025, it was $520 million, up 19.0% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $437 million in FY2024 (+0.6%), $434.4 million in FY2023 (-18.4%), $532.04 million in FY2022 (+2.1%) and $520.94 million in FY2021 (+18.2%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue since Q4 2016.
- Year over year, Cost of Revenue has now increased in each of the last seven quarters, with growth averaging 13.0% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2025 (growth of 29.5%); the low point was Q3 2023 (a decline of 24.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $137.8 million (Q1 2026), $125.36 million (Q4 2025) and $131.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Dine Brands Global | 379.50 Mn | -118.40 Mn | 91.20 Mn | 149.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 149.70 Mn |
| Mar 29, 2026 | 137.80 Mn |
| Dec 28, 2025 | 125.36 Mn |
| Sep 30, 2025 | 131.61 Mn |
| Jun 29, 2025 | 138.60 Mn |
| Mar 30, 2025 | 124.50 Mn |
| Dec 29, 2024 | 119.48 Mn |
| Sep 30, 2024 | 101.72 Mn |
| Jun 30, 2024 | 107.00 Mn |
| Mar 31, 2024 | 108.81 Mn |
| Dec 31, 2023 | 107.89 Mn |
| Sep 30, 2023 | 105.29 Mn |
| Jun 30, 2023 | 111.07 Mn |
| Mar 31, 2023 | 110.15 Mn |
| Dec 31, 2022 | 113.39 Mn |
| Sep 30, 2022 | 138.89 Mn |
| Jun 30, 2022 | 142.10 Mn |
| Mar 31, 2022 | 137.67 Mn |
| Dec 31, 2021 | 133.17 Mn |
| Sep 30, 2021 | 134.12 Mn |
API Access
Dine Brands Global Cost of Revenue 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=cost-of-revenue&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();