Dine Brands Global (DIN) Depreciation & Amortization (CF) (2010 - 2026)
Dine Brands Global (DIN) recorded Depreciation & Amortization (CF) of $11.9 million in Q2 2026, up 14.4% from $10.4 million a year earlier and unchanged from the prior quarter.
Dine Brands Global (DIN) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Dine Brands Global's Depreciation & Amortization (CF) came in at $45.9 million as of Jun 28, 2026, up 13.2% year-over-year; for FY2025, it was $42.9 million, up 9.4% from FY2024.
- Annual Depreciation & Amortization (CF) has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $39.2 million in FY2024 (+10.1%), $35.6 million in FY2023 (-6.2%), $37.95 million in FY2022 (-4.9%) and $39.9 million in FY2021 (-6.8%).
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 11 consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 15.5% in Q2 2024, against a decline of 16.0% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $11.9 million (Q1 2026), $11.52 million (Q4 2025) and $10.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 565.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 389.70 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 98.33 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 60.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 77.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 146.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 77.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 120.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 58.34 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 11.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.90 Mn |
| Mar 29, 2026 | 11.90 Mn |
| Dec 28, 2025 | 11.52 Mn |
| Sep 30, 2025 | 10.58 Mn |
| Jun 29, 2025 | 10.40 Mn |
| Mar 30, 2025 | 10.40 Mn |
| Dec 29, 2024 | 10.15 Mn |
| Sep 30, 2024 | 9.60 Mn |
| Jun 30, 2024 | 9.70 Mn |
| Mar 31, 2024 | 9.74 Mn |
| Dec 31, 2023 | 9.38 Mn |
| Sep 30, 2023 | 8.60 Mn |
| Jun 30, 2023 | 8.40 Mn |
| Mar 31, 2023 | 9.22 Mn |
| Dec 31, 2022 | 9.05 Mn |
| Sep 30, 2022 | 8.90 Mn |
| Jun 30, 2022 | 10.00 Mn |
| Mar 31, 2022 | 9.94 Mn |
| Dec 31, 2021 | 9.90 Mn |
| Sep 30, 2021 | 10.00 Mn |
Dine Brands Global Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=DIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();