Dine Brands Global (DIN) Non-Current Deffered Revenue (2017 - 2026)
Dine Brands Global's Non-Current Deffered Revenue was $32.3 million in Q2 2026, down 3.6% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Non-Current Deffered Revenue (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Deffered Revenue at Dine Brands Global came in at $34.2 million, down 6.8% from FY2024.
- Non-Current Deffered Revenue has now declined for eight consecutive years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- In earlier years, Non-Current Deffered Revenue was $36.7 million in FY2024 (-5.1%), $38.66 million in FY2023 (-8.7%), $42.34 million in FY2022 (-8.1%) and $46.1 million in FY2021 (-11.7%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Deffered Revenue in data going back to Q4 2017.
- The year-over-year decline in Non-Current Deffered Revenue has ranged between 5.1% (Q4 2024) and 13.6% (Q3 2021) over the last five years.
- Per Business Quant data, DIN's Non-Current Deffered Revenue in the three quarters before Q2 2026 was $33.5 million (Q1 2026), $34.2 million (Q4 2025) and $33.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 946.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 5.63 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 47.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 32.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.30 Mn |
| Mar 29, 2026 | 33.50 Mn |
| Dec 28, 2025 | 34.20 Mn |
| Sep 30, 2025 | 33.87 Mn |
| Dec 29, 2024 | 36.70 Mn |
| Sep 30, 2024 | 37.68 Mn |
| Jun 30, 2024 | 37.20 Mn |
| Mar 31, 2024 | 37.29 Mn |
| Dec 31, 2023 | 38.66 Mn |
| Sep 30, 2023 | 40.14 Mn |
| Jun 30, 2023 | 40.96 Mn |
| Mar 31, 2023 | 41.20 Mn |
| Dec 31, 2022 | 42.34 Mn |
| Sep 30, 2022 | 42.62 Mn |
| Jun 30, 2022 | 43.87 Mn |
| Mar 31, 2022 | 45.14 Mn |
| Dec 31, 2021 | 46.10 Mn |
| Sep 30, 2021 | 46.72 Mn |
| Jun 30, 2021 | 47.79 Mn |
| Mar 31, 2021 | 49.36 Mn |
API Access
Dine Brands Global Non-Current Deffered Revenue 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=non-current-deffered-revenue&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-revenue", "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=non-current-deffered-revenue&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();