Krispy Kreme (DNUT) EV to EBIT (2021 - 2024)
Krispy Kreme's EV to EBIT was 166.76 in the quarter ended Jun 30, 2024, up 56.5% from 106.58 a year earlier but down 36.0% from the prior quarter.
Krispy Kreme (DNUT) EV to EBIT (2021 - 2024) Analysis & Trends
On a trailing twelve-month basis, Krispy Kreme's EV to EBIT was 158.19 through Jun 30, 2024, up 54.1% year-over-year; for the year ended Dec 31, 2023, it was 195.70, up 219.5% from the prior year.
- In earlier years, EV to EBIT was 61.25 in the year ended Jan 1, 2023.
- Quarterly EV to EBIT has moved between 63.13 (the quarter ended Jan 1, 2023) and 260.40 (the quarter ended Mar 31, 2024) over five years.
- Compared with a year earlier, EV to EBIT has increased for three straight quarters.
- Per Business Quant data, DNUT's EV to EBIT in the three quarters before the quarter ended Jun 30, 2024 was 260.40 (quarter ended Mar 31, 2024), 195.70 (quarter ended Dec 31, 2023) and 95.22 (quarter ended Oct 1, 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - |
| 10 | Krispy Kreme | 495.30 Mn | 326.16 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 166.76 |
| Mar 31, 2024 | 260.40 |
| Dec 31, 2023 | 195.70 |
| Oct 1, 2023 | 95.22 |
| Jul 2, 2023 | 106.58 |
| Apr 2, 2023 | 104.31 |
| Jan 1, 2023 | 63.13 |
| Oct 2, 2022 | 78.25 |
| Jul 3, 2022 | 65.84 |
| Apr 3, 2022 | 58.03 |
| Oct 3, 2021 | 97.13 |
| Jul 4, 2021 | 111.20 |
Krispy Kreme EV to EBIT 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=ev-to-ebit&ticker=DNUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();