Dominos Pizza (DPZ) Total Non-Current Liabilities (2011 - 2026)
Dominos Pizza (DPZ) reported Total Non-Current Liabilities of $3.84 billion for Q3 2026, down 24.4% from $5.08 billion a year earlier and down 25.5% from the prior quarter.
Dominos Pizza (DPZ) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza posted Total Non-Current Liabilities of $5.08 billion, up 24.2% from FY2024.
- Total Non-Current Liabilities has a four-year compound annual growth rate of 3.7% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $4.09 billion in FY2024 (-21.4%), $5.2 billion in FY2023 (-1.1%), $5.25 billion in FY2022 and $4.4 billion in FY2021.
- The Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q3 2019.
- Year over year, Total Non-Current Liabilities gained in three of the last eight quarters, with an average decline of 2.1%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 26.0%); the low point was Q3 2026 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $5.16 billion (Q2 2026), $5.16 billion (Q1 2026) and $5.08 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | - |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 6.89 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 18.84 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 18.84 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.88 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 3.84 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 3.84 Bn |
| Jun 14, 2026 | 5.16 Bn |
| Mar 22, 2026 | 5.16 Bn |
| Dec 28, 2025 | 5.08 Bn |
| Sep 7, 2025 | 5.08 Bn |
| Jun 15, 2025 | 4.10 Bn |
| Mar 23, 2025 | 4.09 Bn |
| Dec 29, 2024 | 4.09 Bn |
| Sep 8, 2024 | 5.24 Bn |
| Jun 16, 2024 | 5.24 Bn |
| Mar 24, 2024 | 5.24 Bn |
| Dec 31, 2023 | 5.20 Bn |
| Sep 10, 2023 | 5.20 Bn |
| Jun 18, 2023 | 5.22 Bn |
| Mar 26, 2023 | 5.24 Bn |
| Jan 1, 2023 | 5.25 Bn |
| Sep 11, 2022 | 5.38 Bn |
| Jun 19, 2022 | 5.28 Bn |
| Mar 27, 2022 | 5.28 Bn |
| Jan 2, 2022 | 5.29 Bn |
Dominos Pizza Total Non-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-non-current-liabilities&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();