United Natural Foods (UNFI) Cash & Equivalents (2009 - 2026)
United Natural Foods' Cash & Equivalents was $37 million in fiscal Q4 2026 (quarter ended Aug 1, 2026), down 15.9% from $44 million a year earlier and down 14.0% from the prior quarter.
United Natural Foods (UNFI) Cash & Equivalents (2009 - 2026) Analysis & Trends
From fiscal Q1 2010 onward, United Natural Foods has reported Cash & Equivalents for 68 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of -2.0% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $44 million in FY2025 (+10.0%), $40 million in FY2024 (+8.1%), $37 million in FY2023 (-15.9%) and $44 million in FY2022 (+7.3%).
- Quarterly Cash & Equivalents has moved between $34 million (fiscal Q2 2024) and $52 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 7.6%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2025 (growth of 33.3%); the worst was fiscal Q3 2023 (a decline of 20.8%).
- Per Business Quant data, UNFI's Cash & Equivalents in the three fiscal quarters before Q4 2026 was $43 million (Q3 2026), $52 million (Q2 2026) and $38 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | United Natural Foods | 2.75 Bn | 2.58 Bn | 1.05 Bn | 37.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 37.00 Mn |
| May 2, 2026 | 43.00 Mn |
| Jan 31, 2026 | 52.00 Mn |
| Nov 1, 2025 | 38.00 Mn |
| Aug 2, 2025 | 44.00 Mn |
| May 3, 2025 | 52.00 Mn |
| Feb 1, 2025 | 44.00 Mn |
| Nov 2, 2024 | 37.00 Mn |
| Aug 3, 2024 | 40.00 Mn |
| Apr 27, 2024 | 39.00 Mn |
| Jan 27, 2024 | 34.00 Mn |
| Oct 28, 2023 | 37.00 Mn |
| Jul 29, 2023 | 37.00 Mn |
| Apr 29, 2023 | 38.00 Mn |
| Jan 28, 2023 | 40.00 Mn |
| Oct 29, 2022 | 39.00 Mn |
| Jul 30, 2022 | 44.00 Mn |
| Apr 30, 2022 | 48.00 Mn |
| Jan 29, 2022 | 45.00 Mn |
| Oct 30, 2021 | 46.00 Mn |
United Natural Foods Cash & Equivalents 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=cash-and-equivalents&ticker=UNFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=UNFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();