Dominos Pizza (DPZ) Non Operating Interest Expenses (2010 - 2026)
Dominos Pizza's Non Operating Interest Expenses came in at $46.06 million for Q2 2026, up 3.2% from $44.65 million a year earlier but down 0.4% from the prior quarter.
Dominos Pizza (DPZ) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 14, 2026, Dominos Pizza reported Non Operating Interest Expenses of $198.02 million, up 1.3% year-over-year; for FY2025, it was $195.97 million, up 0.1% from FY2024.
- Non Operating Interest Expenses carries a four-year compound annual growth rate of 3.3% (FY2021 to FY2025).
- Going back by year, Non Operating Interest Expenses was $195.87 million in FY2024 (-0.3%), $196.48 million in FY2023 (-0.9%), $198.25 million in FY2022 and $172.17 million in FY2021.
- The five-year range for quarterly Non Operating Interest Expenses is $44.65 million (Q2 2025) to $61.09 million (Q4 2022).
- Year-over-year, Non Operating Interest Expenses has increased for four consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2026 (growth of 3.2%), and the weakest in Q1 2024 (a decline of 1.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Dominos Pizza | 10.07 Bn | 9.40 Bn | 478.23 Mn | 46.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 14, 2026 | 46.06 Mn |
| Mar 22, 2026 | 46.23 Mn |
| Dec 28, 2025 | 60.73 Mn |
| Sep 7, 2025 | 45.01 Mn |
| Jun 15, 2025 | 44.65 Mn |
| Mar 23, 2025 | 45.59 Mn |
| Dec 29, 2024 | 60.58 Mn |
| Sep 8, 2024 | 44.73 Mn |
| Jun 16, 2024 | 44.72 Mn |
| Mar 24, 2024 | 45.85 Mn |
| Dec 31, 2023 | 60.20 Mn |
| Sep 10, 2023 | 44.80 Mn |
| Jun 18, 2023 | 44.93 Mn |
| Mar 26, 2023 | 46.55 Mn |
| Sep 11, 2022 | 45.44 Mn |
| Jun 19, 2022 | 44.85 Mn |
| Mar 27, 2022 | 46.87 Mn |
| Jan 2, 2022 | 74.00 Mn |
| Sep 12, 2021 | 45.52 Mn |
| Jun 20, 2021 | 45.88 Mn |
Dominos Pizza Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();