Krispy Kreme (DNUT) Exchange Rate Effect (2020 - 2026)
Krispy Kreme's Exchange Rate Effect came in at $500,000 for the quarter ended Jun 28, 2026, compared with -$999,000 a year earlier.
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Analysis
Krispy Kreme (DNUT) Exchange Rate Effect (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Krispy Kreme reported Exchange Rate Effect of $1.06 million; for the year ended Dec 28, 2025, it was -$446,000.
- Going back by year, Exchange Rate Effect was -$462,000 in the year ended Dec 29, 2024, -$1.93 million in the year ended Dec 31, 2023, -$4.97 million in the year ended Jan 1, 2023 and $2.05 million in the year ended Jan 3, 2021.
- The five-year range for quarterly Exchange Rate Effect is -$3.14 million (the quarter ended Jan 1, 2023) to $2.44 million (the quarter ended Dec 28, 2025).
- Business Quant data shows DNUT's Exchange Rate Effect at -$297,000 (quarter ended Mar 29, 2026), $2.44 million (quarter ended Dec 28, 2025) and -$1.59 million (quarter ended Sep 28, 2025) in the three quarters before the quarter ended Jun 28, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 99.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | -6.20 Mn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | -9.00 Mn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 98,000.00 |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | -5.00 Mn |
| 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 | -5.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 4.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | - |
| 10 | Krispy Kreme | 495.30 Mn | 326.16 Mn | - | 500,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 500,000.00 |
| Mar 29, 2026 | -297,000.00 |
| Dec 28, 2025 | 2.44 Mn |
| Sep 28, 2025 | -1.59 Mn |
| Jun 29, 2025 | -999,000.00 |
| Mar 30, 2025 | -301,000.00 |
| Dec 29, 2024 | -1.55 Mn |
| Sep 29, 2024 | 1.20 Mn |
| Jun 30, 2024 | 1.71 Mn |
| Mar 31, 2024 | -1.83 Mn |
| Dec 31, 2023 | 862,000.00 |
| Oct 1, 2023 | 215,000.00 |
| Jul 2, 2023 | -1.64 Mn |
| Apr 2, 2023 | -1.37 Mn |
| Jan 1, 2023 | -3.14 Mn |
| Apr 3, 2022 | -2.23 Mn |
| Oct 3, 2021 | -666,000.00 |
| Jul 4, 2021 | -654,000.00 |
| Apr 4, 2021 | -507,000.00 |
| Jan 3, 2021 | 1.29 Mn |
API Access
Krispy Kreme Exchange Rate Effect 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=exchange-rate-effect&ticker=DNUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=DNUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();