Dine Brands Global (DIN) Other non-cash items (2010 - 2026)
Powered by 
Analysis
Dine Brands Global (DIN) Other non-cash items (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 188.14 Bn | 182.96 Bn | 6.42 Bn |
| 2 | Starbucks | 119.35 Bn | 119.35 Bn | - |
| 3 | Yum Brands | 43.42 Bn | 40.30 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 42.01 Bn | 42.01 Bn | - |
| 5 | Restaurant Brands International | 26.03 Bn | 21.82 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.34 Bn | 24.43 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.39 Bn | 10.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.29 Bn | 11.63 Bn | - |
| 10 | Dine Brands Global | 436.44 Mn | -61.46 Mn | 91.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 2.20 Mn |
| Dec 28, 2025 | -236,000.00 |
| Jun 29, 2025 | 900,000.00 |
| Mar 30, 2025 | 1.70 Mn |
| Dec 29, 2024 | 517,000.00 |
| Mar 31, 2024 | 183,000.00 |
| Dec 31, 2023 | -10,000.00 |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | -1.66 Mn |
| Dec 31, 2022 | -1.37 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Sep 30, 2021 | 9,000.00 |
| Jun 30, 2019 | 8.28 Mn |
| Dec 31, 2018 | -875,000.00 |
| Dec 31, 2016 | -74,000.00 |
| Sep 30, 2016 | -117,000.00 |
| Jun 30, 2016 | -1.37 Mn |
| Mar 31, 2016 | 1.68 Mn |
| Dec 31, 2015 | -205,000.00 |
| Sep 30, 2015 | 157,000.00 |
API Access
Dine Brands Global Other non-cash items 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=other-non-cash-items&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();