Dine Brands Global (DIN) Other Non Operating Income (2010 - 2025)
Dine Brands Global (DIN) recorded Other Non Operating Income of -$50,000 in Q4 2025.
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Analysis
Dine Brands Global (DIN) Other Non Operating Income (2010 - 2025) Analysis & Trends
For FY2025, Dine Brands Global reported Other Non Operating Income of -$900,000.
- Across earlier years, Other Non Operating Income came in at $210,000 in FY2022 and -$34,000 in FY2021.
- The Q4 2025 figure is the highest quarterly Other Non Operating Income since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dine Brands Global | 428.34 Mn | 7.34 Mn | 84.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -50,000.00 |
| Jun 29, 2025 | -900,000.00 |
| 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 | 9,000.00 |
| Sep 30, 2018 | -2.53 Mn |
| Dec 31, 2014 | -64.85 Mn |
| Sep 30, 2014 | -1,000.00 |
| Jun 30, 2014 | -6,000.00 |
| Mar 31, 2014 | -6,000.00 |
| Dec 31, 2013 | -22,000.00 |
| Jun 30, 2013 | -16,000.00 |
| Mar 31, 2013 | -20,000.00 |
| Dec 31, 2012 | -637,000.00 |
| Sep 30, 2012 | -2.31 Mn |
API Access
Dine Brands Global Other Non Operating Income 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-operating-income&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-income", "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-operating-income&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();