Dine Brands Global (DIN) Amortization - Intangibles (2010 - 2026)
Dine Brands Global (DIN) posted Amortization - Intangibles of $3.9 million for Q2 2026, up 44.4% from $2.7 million a year earlier and up 2.6% from the prior quarter.
Dine Brands Global (DIN) Amortization - Intangibles (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Amortization - Intangibles at Dine Brands Global was $14.19 million, up 31.9% year-over-year; for FY2025, it came in at $11.9 million, up 10.2% from FY2024.
- Annual Amortization - Intangibles shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In prior years, Dine Brands Global's Amortization - Intangibles was $10.8 million in FY2024 (-0.9%), $10.9 million in FY2023 (+2.8%), $10.6 million in FY2022 (-0.9%) and $10.7 million in FY2021 (-1.9%).
- The Q2 2026 figure stands as the highest quarterly Amortization - Intangibles in data going back to Q2 2010.
- On a year-over-year basis, Amortization - Intangibles has increased in each of the last four quarters, with growth averaging 15.6% over the last eight quarters.
- The strongest year-over-year quarter for Amortization - Intangibles in the past five years was Q2 2026, with growth of 44.4%; the weakest was Q4 2022, with a decline of 2.9%.
- According to Business Quant data, Amortization - Intangibles for the three prior quarters was $3.8 million (Q1 2026), $3.59 million (Q4 2025) and $2.91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 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 |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.90 Mn |
| Mar 29, 2026 | 3.80 Mn |
| Dec 28, 2025 | 3.59 Mn |
| Sep 30, 2025 | 2.91 Mn |
| Jun 29, 2025 | 2.70 Mn |
| Mar 30, 2025 | 2.70 Mn |
| Dec 29, 2024 | 2.63 Mn |
| Sep 30, 2024 | 2.72 Mn |
| Jun 30, 2024 | 2.72 Mn |
| Mar 31, 2024 | 2.72 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 2.71 Mn |
| Jun 30, 2023 | 2.72 Mn |
| Mar 31, 2023 | 2.77 Mn |
| Dec 31, 2022 | 2.61 Mn |
| Sep 30, 2022 | 2.66 Mn |
| Jun 30, 2022 | 2.67 Mn |
| Mar 31, 2022 | 2.67 Mn |
| Dec 31, 2021 | 2.69 Mn |
| Sep 30, 2021 | 2.66 Mn |
Dine Brands Global Amortization - Intangibles 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=amortization-intangibles&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();