Krispy Kreme (DNUT) Price to Earnings (2024)
Krispy Kreme's (DNUT) Price to Earnings stood at 537.38 in the quarter ended Dec 29, 2024, up 715.8% from the prior quarter.
Analysis
Krispy Kreme (DNUT) Price to Earnings (2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 178.84 Bn | 173.66 Bn | 6.42 Bn |
| 2 | Starbucks | 115.91 Bn | 103.53 Bn | - |
| 3 | Yum Brands | 42.35 Bn | 39.23 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.66 Bn | 31.64 Bn | - |
| 5 | Restaurant Brands International | 26.55 Bn | 22.11 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.69 Bn | 23.79 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.53 Bn | 9.19 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.32 Bn | 10.66 Bn | - |
| 10 | Krispy Kreme | 509.97 Mn | 340.83 Mn | - |
API Access
Krispy Kreme Price to Earnings 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=price-to-earnings&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DNUT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();