Dominos Pizza (DPZ) Cash & Equivalents (2010 - 2026)
Dominos Pizza (DPZ) recorded Cash & Equivalents of $229.04 million in Q3 2026, up 63.9% from $139.73 million a year earlier and up 38.9% from the prior quarter.
Dominos Pizza (DPZ) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Dominos Pizza reported Cash & Equivalents of $125.68 million, down 32.5% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of -7.1% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $186.13 million in FY2024 (+63.1%), $114.1 million in FY2023 (+89.0%), $60.36 million in FY2022 and $168.82 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $60.36 million in Q4 2022 to $304.32 million in Q1 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 6.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 268.3% in Q2 2024, against a decline of 39.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $164.84 million (Q2 2026), $232.92 million (Q1 2026) and $125.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 634.21 Mn |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 202.43 Mn |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 229.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2026 | 229.04 Mn |
| Jun 14, 2026 | 164.84 Mn |
| Mar 22, 2026 | 232.92 Mn |
| Dec 28, 2025 | 125.68 Mn |
| Sep 7, 2025 | 139.73 Mn |
| Jun 15, 2025 | 272.86 Mn |
| Mar 23, 2025 | 304.32 Mn |
| Dec 29, 2024 | 186.13 Mn |
| Sep 8, 2024 | 189.08 Mn |
| Jun 16, 2024 | 283.70 Mn |
| Mar 24, 2024 | 203.89 Mn |
| Dec 31, 2023 | 114.10 Mn |
| Sep 10, 2023 | 80.88 Mn |
| Jun 18, 2023 | 77.02 Mn |
| Mar 26, 2023 | 154.19 Mn |
| Jan 1, 2023 | 60.36 Mn |
| Sep 11, 2022 | 114.78 Mn |
| Jun 19, 2022 | 114.35 Mn |
| Mar 27, 2022 | 164.96 Mn |
| Jan 2, 2022 | 148.16 Mn |
Dominos Pizza Cash & Equivalents 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=cash-and-equivalents&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();