Dine Brands Global (DIN) Accounts Payables (2010 - 2026)
Dine Brands Global (DIN) reported Accounts Payables of $87.6 million for Q2 2026, up 17.7% from the prior quarter.
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Analysis
Dine Brands Global (DIN) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Dine Brands Global posted Accounts Payables of $93.2 million, up 23.0% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Accounts Payables came in at $75.8 million in FY2024 (+109.4%), $36.19 million in FY2023 (-30.5%), $52.07 million in FY2022 (-7.0%) and $55.96 million in FY2021 (+49.5%).
- Five-year quarterly Accounts Payables spans a low of $28.88 million in Q3 2023 and a high of $93.2 million in Q4 2025.
- Year over year, Accounts Payables gained in three of the last four quarters, with growth averaging 38.0%.
- The high point for year-over-year Accounts Payables in five years was Q4 2024 (growth of 109.4%); the low point was Q4 2023 (a decline of 30.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $74.4 million (Q1 2026), $93.2 million (Q4 2025) and $34.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.78 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 255.13 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 1.19 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 884.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 427.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 884.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 2.26 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 179.04 Mn |
| 10 | Dine Brands Global | 352.51 Mn | -145.39 Mn | 91.20 Mn | 87.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 87.60 Mn |
| Mar 29, 2026 | 74.40 Mn |
| Dec 28, 2025 | 93.20 Mn |
| Sep 30, 2025 | 34.29 Mn |
| Dec 29, 2024 | 75.80 Mn |
| Sep 30, 2024 | 35.46 Mn |
| Jun 30, 2024 | 31.51 Mn |
| Mar 31, 2024 | 42.98 Mn |
| Dec 31, 2023 | 36.19 Mn |
| Sep 30, 2023 | 28.88 Mn |
| Jun 30, 2023 | 33.47 Mn |
| Mar 31, 2023 | 39.09 Mn |
| Dec 31, 2022 | 52.07 Mn |
| Sep 30, 2022 | 40.78 Mn |
| Jun 30, 2022 | 38.54 Mn |
| Mar 31, 2022 | 38.42 Mn |
| Dec 31, 2021 | 55.96 Mn |
| Sep 30, 2021 | 42.59 Mn |
| Jun 30, 2021 | 40.13 Mn |
| Mar 31, 2021 | 33.52 Mn |
API Access
Dine Brands Global Accounts Payables 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=accounts-payables&ticker=DIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=DIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();