Dine Brands Global (DIN) Receivables (2010 - 2026)
Dine Brands Global (DIN) recorded Receivables of $112.4 million in Q2 2026, down 7.4% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global reported Receivables of $152.8 million, up 1.1% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of -5.1% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $151.1 million in FY2024 (-7.6%), $163.5 million in FY2023 (+2.4%), $159.7 million in FY2022 (-1.7%) and $162.5 million in FY2021 (-18.3%).
- The Q2 2026 figure is the lowest quarterly Receivables since Q3 2019.
- On a year-over-year basis, Receivables rose in two of the last four quarters, with an average decline of 0.9%.
- Peak year-over-year performance for Receivables in the last five years was growth of 6.5% in Q3 2025, against a decline of 26.5% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $121.4 million (Q1 2026), $152.8 million (Q4 2025) and $124.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 176.83 Bn | 171.65 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 117.41 Bn | 105.04 Bn | - | 1.30 Bn |
| 3 | Yum Brands | 41.09 Bn | 37.98 Bn | 1.47 Bn | 623.00 Mn |
| 4 | Chipotle Mexican Grill | 35.70 Bn | 31.68 Bn | - | 100.31 Mn |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | 118.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 15.80 Bn | 9.46 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.95 Bn | 10.29 Bn | - | 74.14 Mn |
| 10 | Dine Brands Global | 382.56 Mn | -115.34 Mn | 91.20 Mn | 112.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 112.40 Mn |
| Mar 29, 2026 | 121.40 Mn |
| Dec 28, 2025 | 152.80 Mn |
| Sep 30, 2025 | 124.50 Mn |
| Dec 29, 2024 | 151.10 Mn |
| Sep 30, 2024 | 116.90 Mn |
| Jun 30, 2024 | 116.90 Mn |
| Mar 31, 2024 | 126.10 Mn |
| Dec 31, 2023 | 163.50 Mn |
| Sep 30, 2023 | 121.40 Mn |
| Jun 30, 2023 | 126.60 Mn |
| Mar 31, 2023 | 130.90 Mn |
| Dec 31, 2022 | 159.70 Mn |
| Sep 30, 2022 | 132.70 Mn |
| Jun 30, 2022 | 135.00 Mn |
| Mar 31, 2022 | 136.70 Mn |
| Dec 31, 2021 | 162.50 Mn |
| Sep 30, 2021 | 144.00 Mn |
| Jun 30, 2021 | 154.00 Mn |
| Mar 31, 2021 | 164.40 Mn |
API Access
Dine Brands Global Receivables 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=receivables&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();