Dominos Pizza (DPZ) Total Current Liabilities (2011 - 2026)
Dominos Pizza (DPZ) posted Total Current Liabilities of $588.67 million for Q2 2026, down 65.1% from $1.69 billion a year earlier and down 0.6% from the prior quarter.
Dominos Pizza (DPZ) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza's Total Current Liabilities came in at $541.62 million, down 66.4% from FY2024.
- Annual Total Current Liabilities shows a four-year compound annual growth rate of 3.6% (FY2021 to FY2025).
- In prior years, Dominos Pizza's Total Current Liabilities was $1.61 billion in FY2024 (+194.6%), $547.35 million in FY2023, $590.74 million in FY2022 (+25.5%) and $470.82 million in FY2021.
- Quarterly Total Current Liabilities has run from a low of $507.83 million in Q2 2024 to a high of $1.7 billion in Q1 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has declined in each of the last three quarters, with growth averaging 57.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2025, with growth of 233.0%; the weakest was Q4 2025, with a decline of 66.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.32 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 790.79 Mn |
| 10 | Dominos Pizza | 10.07 Bn | 9.40 Bn | 478.23 Mn | 588.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 14, 2026 | 588.67 Mn |
| Mar 22, 2026 | 592.00 Mn |
| Dec 28, 2025 | 541.62 Mn |
| Sep 7, 2025 | 539.15 Mn |
| Jun 15, 2025 | 1.69 Bn |
| Mar 23, 2025 | 1.70 Bn |
| Dec 29, 2024 | 1.61 Bn |
| Sep 8, 2024 | 510.51 Mn |
| Jun 16, 2024 | 507.83 Mn |
| Mar 24, 2024 | 509.59 Mn |
| Dec 31, 2023 | 547.35 Mn |
| Sep 10, 2023 | 562.94 Mn |
| Jun 18, 2023 | 547.53 Mn |
| Mar 26, 2023 | 556.37 Mn |
| Jan 1, 2023 | 536.62 Mn |
| Sep 11, 2022 | 578.74 Mn |
| Jun 19, 2022 | 575.45 Mn |
| Mar 27, 2022 | 594.82 Mn |
| Jan 2, 2022 | 590.74 Mn |
| Sep 12, 2021 | 596.35 Mn |
Dominos Pizza Total Current Liabilities 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=total-current-liabilities&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();