Dominos Pizza (DPZ) Change in Working Capital (2014 - 2020)
Dominos Pizza's Change in Working Capital came in at -$5.28 million for Q3 2021.
Analysis
Dominos Pizza (DPZ) Change in Working Capital (2014 - 2020) Analysis & Trends
Over the trailing twelve months to Sep 6, 2020, Dominos Pizza reported Change in Working Capital of -$12.78 million.
- The Q3 2021 figure represents the lowest quarterly Change in Working Capital since Q3 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Working Cap. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 50.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | -5.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Dominos Pizza | 9.91 Bn | 9.25 Bn | 478.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 6, 2020 | -5.28 Mn |
| Jun 14, 2020 | -3.70 Mn |
| Mar 22, 2020 | 23.12 Mn |
| Sep 8, 2019 | -26.93 Mn |
| Jun 16, 2019 | 12.69 Mn |
| Mar 24, 2019 | -1.97 Mn |
| Sep 9, 2018 | -24.59 Mn |
| Jun 17, 2018 | 34.76 Mn |
| Mar 25, 2018 | 15.41 Mn |
| Sep 10, 2017 | -30.15 Mn |
| Jun 18, 2017 | 39.71 Mn |
| Mar 26, 2017 | -7.24 Mn |
| Mar 27, 2016 | 15.80 Mn |
| Sep 6, 2015 | -19.09 Mn |
| Jun 14, 2015 | 33.07 Mn |
| Mar 22, 2015 | -29.62 Mn |
| Sep 7, 2014 | -9.78 Mn |
| Jun 15, 2014 | 21.37 Mn |
| Mar 23, 2014 | 7.89 Mn |
API Access
Dominos Pizza Change in Working Capital 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=change-in-working-capital&ticker=DPZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-working-capital", "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=change-in-working-capital&ticker=DPZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();