Darden Restaurants (DRI) Cash & Equivalents (2009 - 2026)
Darden Restaurants (DRI) posted Cash & Equivalents of $220.5 million for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 4.5% from $211 million a year earlier and up 0.5% from the prior quarter.
Darden Restaurants (DRI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Darden Restaurants' Cash & Equivalents came in at $219.5 million, down 8.5% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -29.0% (FY2021 to FY2026).
- In prior fiscal years, Darden Restaurants' Cash & Equivalents was $240 million in FY2025 (+23.2%), $194.8 million in FY2024 (-47.0%), $367.8 million in FY2023 (-12.6%) and $420.6 million in FY2022 (-65.4%).
- Quarterly Cash & Equivalents has run from a low of $192.1 million in fiscal Q1 2024 to a high of $746.3 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 5.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2025, with growth of 23.2%; the weakest was fiscal Q2 2023, with a decline of 67.7%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $219.5 million (Q4 2026), $240.4 million (Q3 2026) and $224.1 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 3.45 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 674.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 228.20 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 202.43 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 327.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 220.50 Mn |
| May 31, 2026 | 219.50 Mn |
| Feb 22, 2026 | 240.40 Mn |
| Nov 23, 2025 | 224.10 Mn |
| Aug 24, 2025 | 211.00 Mn |
| May 25, 2025 | 240.00 Mn |
| Feb 23, 2025 | 224.20 Mn |
| Nov 24, 2024 | 217.30 Mn |
| Aug 25, 2024 | 192.50 Mn |
| May 26, 2024 | 194.80 Mn |
| Feb 25, 2024 | 243.90 Mn |
| Nov 26, 2023 | 195.70 Mn |
| Aug 27, 2023 | 192.10 Mn |
| May 28, 2023 | 367.80 Mn |
| Feb 26, 2023 | 275.30 Mn |
| Nov 27, 2022 | 240.70 Mn |
| Aug 28, 2022 | 377.50 Mn |
| May 29, 2022 | 420.60 Mn |
| Feb 27, 2022 | 555.30 Mn |
| Nov 28, 2021 | 746.30 Mn |
Darden Restaurants 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=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "DRI", "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=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();