United Natural Foods (UNFI) Exchange Rate Effect (2010 - 2026)
United Natural Foods (UNFI) posted Exchange Rate Effect of -$1 million for fiscal Q4 2026 (quarter ended Aug 1, 2026).
Analysis
United Natural Foods (UNFI) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, United Natural Foods has reported Exchange Rate Effect for 48 quarters.
- Quarterly Exchange Rate Effect has run from a low of -$1 million in fiscal Q1 2023 to a high of $1 million in fiscal Q2 2026 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 398.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | -16.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | -9.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | - |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | -600,000.00 |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | - |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | - |
| 10 | United Natural Foods | 2.70 Bn | 2.53 Bn | 1.05 Bn | -1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -1.00 Mn |
| May 2, 2026 | -1.00 Mn |
| Jan 31, 2026 | 1.00 Mn |
| May 3, 2025 | 1.00 Mn |
| Feb 1, 2025 | -1.00 Mn |
| Jan 28, 2023 | 1.00 Mn |
| Oct 29, 2022 | -1.00 Mn |
| Jul 31, 2021 | 1.00 Mn |
| Aug 1, 2020 | -710,000.00 |
| May 2, 2020 | -309,000.00 |
| Feb 1, 2020 | 29,000.00 |
| Nov 2, 2019 | -10,000.00 |
| Aug 3, 2019 | 226,000.00 |
| Apr 27, 2019 | 1.64 Mn |
| Jan 26, 2019 | -1.82 Mn |
| Oct 27, 2018 | -49,000.00 |
| Jul 28, 2018 | -274,000.00 |
| Apr 28, 2018 | -489,000.00 |
| Jan 27, 2018 | 492,000.00 |
| Oct 28, 2017 | -304,000.00 |
API Access
United Natural Foods 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=UNFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "UNFI", "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=UNFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();