Darden Restaurants (DRI) Sales of Property, Plant and Equipment (2009 - 2026)
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Analysis
Darden Restaurants (DRI) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 137.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | - |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | - |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | 1.00 Mn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | 12.00 Mn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 12.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 12.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | - |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | - |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn | 7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 12.50 Mn |
| Feb 22, 2026 | 8.90 Mn |
| Nov 23, 2025 | 3.80 Mn |
| Aug 24, 2025 | 20.30 Mn |
| May 25, 2025 | 2.50 Mn |
| May 26, 2024 | 1.30 Mn |
| Nov 26, 2023 | 400,000.00 |
| Aug 27, 2023 | 1.60 Mn |
| May 28, 2023 | 4.00 Mn |
| Feb 26, 2023 | 300,000.00 |
| Nov 27, 2022 | 10.70 Mn |
| Aug 28, 2022 | 10.40 Mn |
| Feb 27, 2022 | 4.10 Mn |
| Nov 28, 2021 | 2.60 Mn |
| Aug 29, 2021 | 3.40 Mn |
| Nov 29, 2020 | 3.10 Mn |
| Aug 30, 2020 | 2.30 Mn |
| May 31, 2020 | 1.50 Mn |
| Nov 24, 2019 | 1.70 Mn |
| Aug 25, 2019 | 2.60 Mn |
API Access
Darden Restaurants Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();