Dine Brands Global (DIN) Selling, General & Administrative (2010 - 2026)
Dine Brands Global (DIN) recorded Selling, General & Administrative of $55.6 million in Q2 2026, up 9.4% from $50.8 million a year earlier and up 4.7% from the prior quarter.
Powered by 
Analysis
Dine Brands Global (DIN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Selling, General & Administrative came in at $210.39 million as of Jun 28, 2026, up 5.3% year-over-year; for FY2025, it was $203.8 million, up 3.6% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $196.7 million in FY2024 (-0.7%), $198.1 million in FY2023 (+3.9%), $190.75 million in FY2022 (+11.0%) and $171.84 million in FY2021 (+18.7%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q4 2022.
- On a year-over-year basis, Selling, General & Administrative rose in five of the last eight quarters, with growth averaging 3.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 24.1% in Q4 2021, against a decline of 14.0% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $53.1 million (Q1 2026), $51.49 million (Q4 2025) and $50.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 72.41 Mn |
| 10 | Dine Brands Global | 359.48 Mn | -138.42 Mn | 91.20 Mn | 55.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 55.60 Mn |
| Mar 29, 2026 | 53.10 Mn |
| Dec 28, 2025 | 51.49 Mn |
| Sep 30, 2025 | 50.20 Mn |
| Jun 29, 2025 | 50.80 Mn |
| Mar 30, 2025 | 51.30 Mn |
| Dec 29, 2024 | 52.27 Mn |
| Sep 30, 2024 | 45.39 Mn |
| Jun 30, 2024 | 46.86 Mn |
| Mar 31, 2024 | 52.19 Mn |
| Dec 31, 2023 | 50.56 Mn |
| Sep 30, 2023 | 48.62 Mn |
| Jun 30, 2023 | 47.84 Mn |
| Mar 31, 2023 | 51.09 Mn |
| Dec 31, 2022 | 58.80 Mn |
| Sep 30, 2022 | 46.34 Mn |
| Jun 30, 2022 | 44.06 Mn |
| Mar 31, 2022 | 41.55 Mn |
| Dec 31, 2021 | 48.95 Mn |
| Sep 30, 2021 | 43.70 Mn |
API Access
Dine Brands Global Selling, General & Administrative 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=selling-general-and-administrative&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();