Dine Brands Global (DIN) Income Taxes Paid (2010 - 2026)
Dine Brands Global's Income Taxes Paid came in at $5.3 million for Q2 2026, up 231.3% from $1.6 million a year earlier.
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Analysis
Dine Brands Global (DIN) Income Taxes Paid (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Dine Brands Global reported Income Taxes Paid of $18.3 million, down 2.3% year-over-year; for FY2025, it came in at $15.9 million, down 58.5% from FY2024.
- Income Taxes Paid carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Income Taxes Paid was $38.3 million in FY2024 (+34.9%), $28.4 million in FY2023 (+1.1%), $28.09 million in FY2022 (-10.3%) and $31.3 million in FY2021 (+163.6%).
- The five-year range for quarterly Income Taxes Paid is $400,000 (Q1 2026) to $19.97 million (Q2 2024).
- Year-over-year, Income Taxes Paid increased in four of the last eight quarters, with growth averaging 32.5%.
- The fastest year-over-year change in Income Taxes Paid over five years came in Q2 2026 (growth of 231.3%), and the weakest in Q3 2025 (a decline of 93.3%).
- Business Quant data shows DIN's Income Taxes Paid at $400,000 (Q1 2026), $12.03 million (Q4 2025) and $571,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 93.10 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 19.97 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 68.00 Mn |
| 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 | 68.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 159.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 16.10 Mn |
| 10 | Dine Brands Global | 428.34 Mn | 7.34 Mn | 84.70 Mn | 2.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 2.50 Mn |
| Jun 28, 2026 | 5.30 Mn |
| Mar 29, 2026 | 400,000.00 |
| Dec 28, 2025 | 12.03 Mn |
| Sep 30, 2025 | 571,000.00 |
| Jun 29, 2025 | 1.60 Mn |
| Mar 30, 2025 | 1.70 Mn |
| Dec 29, 2024 | 6.91 Mn |
| Sep 30, 2024 | 8.52 Mn |
| Jun 30, 2024 | 19.97 Mn |
| Mar 31, 2024 | 2.91 Mn |
| Dec 31, 2023 | 2.63 Mn |
| Sep 30, 2023 | 4.37 Mn |
| Jun 30, 2023 | 9.46 Mn |
| Mar 31, 2023 | 11.94 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | 4.77 Mn |
| Jun 30, 2022 | 8.12 Mn |
| Mar 31, 2022 | 7.95 Mn |
| Dec 31, 2021 | 10.16 Mn |
API Access
Dine Brands Global Income Taxes Paid 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=income-taxes-paid&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();