Dominos Pizza (DPZ) Accounts Payables (2011 - 2026)
Dominos Pizza (DPZ) posted Accounts Payables of $132.25 million for Q3 2026, up 17.0% from $113.07 million a year earlier but down 3.8% from the prior quarter.
Dominos Pizza (DPZ) Accounts Payables (2011 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza's Accounts Payables came in at $135.03 million, up 57.2% from FY2024.
- Annual Accounts Payables shows a four-year compound annual growth rate of 9.3% (FY2021 to FY2025).
- In prior years, Dominos Pizza's Accounts Payables was $85.9 million in FY2024 (-19.2%), $106.27 million in FY2023 (+18.4%), $89.72 million in FY2022 and $94.5 million in FY2021.
- Quarterly Accounts Payables has run from a low of $85.9 million in Q4 2024 to a high of $137.43 million in Q2 2026 over five years.
- On a year-over-year basis, Accounts Payables has increased in each of the last seven quarters, with growth averaging 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q4 2025, with growth of 57.2%; the weakest was Q4 2024, with a decline of 19.2%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $137.43 million (Q2 2026), $124.38 million (Q1 2026) and $135.03 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 1.11 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.78 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 1.19 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 308.35 Mn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 816.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 470.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 816.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 2.26 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 179.04 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 132.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 132.25 Mn |
| Jun 14, 2026 | 137.43 Mn |
| Mar 22, 2026 | 124.38 Mn |
| Dec 28, 2025 | 135.03 Mn |
| Sep 7, 2025 | 113.07 Mn |
| Jun 15, 2025 | 131.09 Mn |
| Mar 23, 2025 | 123.09 Mn |
| Dec 29, 2024 | 85.90 Mn |
| Sep 8, 2024 | 97.85 Mn |
| Jun 16, 2024 | 110.56 Mn |
| Mar 24, 2024 | 111.68 Mn |
| Dec 31, 2023 | 106.27 Mn |
| Sep 10, 2023 | 101.06 Mn |
| Jun 18, 2023 | 90.69 Mn |
| Mar 26, 2023 | 93.55 Mn |
| Jan 1, 2023 | 89.72 Mn |
| Sep 11, 2022 | 91.30 Mn |
| Jun 19, 2022 | 99.47 Mn |
| Mar 27, 2022 | 92.35 Mn |
| Jan 2, 2022 | 91.55 Mn |
Dominos Pizza 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=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "ticker": "DPZ", "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=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();