Darden Restaurants (DRI) Cash & Equivalents Growth (1y) (2010 - 2026)
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Analysis
Darden Restaurants (DRI) Cash & Equivalents Growth (1y) (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. Growth (1y) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | -56.18% |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | -17.32% |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | -72.98% |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | -17.60% |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 3.61% |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | -8.54% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 3.61% |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | -18.07% |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | 14.49% |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | -31.14% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | -8.54% |
| Feb 22, 2026 | 7.23% |
| Nov 23, 2025 | 3.13% |
| Aug 24, 2025 | 9.61% |
| May 25, 2025 | 23.20% |
| Feb 23, 2025 | -8.08% |
| Nov 24, 2024 | 11.04% |
| Aug 25, 2024 | 0.21% |
| May 26, 2024 | -47.04% |
| Feb 25, 2024 | -11.41% |
| Nov 26, 2023 | -18.70% |
| Aug 27, 2023 | -49.11% |
| May 28, 2023 | -12.55% |
| Feb 26, 2023 | -50.42% |
| Nov 27, 2022 | -67.75% |
| Aug 28, 2022 | -60.17% |
| May 29, 2022 | -65.37% |
| Feb 27, 2022 | -44.13% |
| Nov 28, 2021 | -3.99% |
| Aug 29, 2021 | 44.79% |
API Access
Darden Restaurants Cash & Equivalents Growth (1y) 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-growth-1y&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents-growth-1y", "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-growth-1y&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();