Dine Brands Global (DIN) Tax Provisions (2010 - 2026)
Dine Brands Global (DIN) reported Tax Provisions of $1.7 million for Q2 2026, down 66.7% from $5.1 million a year earlier and down 39.3% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Tax Provisions (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Dine Brands Global's Tax Provisions came in at $2.89 million, down 85.4% year-over-year; for FY2025, it was $8.1 million, down 67.2% from FY2024.
- By year, Tax Provisions came in at $24.7 million in FY2024 (+70.3%), $14.5 million in FY2023 (-57.0%), $33.7 million in FY2022 (+39.8%) and $24.1 million in FY2021.
- Five-year quarterly Tax Provisions spans a low of -$6.92 million in Q4 2023 and a high of $9.31 million in Q1 2022.
- Year over year, Tax Provisions gained in 1 of the last six quarters, with an average decline of 36.8%.
- The high point for year-over-year Tax Provisions in five years was Q4 2021 (growth of 474.9%); the low point was Q2 2026 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.8 million (Q1 2026), -$4.35 million (Q4 2025) and $2.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 374.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 129.73 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | -320.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 57.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 19.48 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 1.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.70 Mn |
| Mar 29, 2026 | 2.80 Mn |
| Dec 28, 2025 | -4.35 Mn |
| Sep 30, 2025 | 2.74 Mn |
| Jun 29, 2025 | 5.10 Mn |
| Mar 30, 2025 | 4.60 Mn |
| Dec 29, 2024 | 2.68 Mn |
| Sep 30, 2024 | 7.40 Mn |
| Jun 30, 2024 | 8.04 Mn |
| Mar 31, 2024 | 6.57 Mn |
| Dec 31, 2023 | -6.92 Mn |
| Sep 30, 2023 | 6.47 Mn |
| Jun 30, 2023 | 6.19 Mn |
| Mar 31, 2023 | 8.76 Mn |
| Dec 31, 2022 | 8.04 Mn |
| Sep 30, 2022 | 7.79 Mn |
| Jun 30, 2022 | 8.57 Mn |
| Mar 31, 2022 | 9.31 Mn |
| Dec 31, 2021 | 8.73 Mn |
| Sep 30, 2021 | 7.66 Mn |
API Access
Dine Brands Global Tax Provisions 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=tax-provisions&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();