Darden Restaurants (DRI) Land & Improvements (2025 - 2026)
Darden Restaurants (DRI) posted Land & Improvements of $178.1 million for Q2 2026, up 12.15% on a QoQ basis from $158.8 million in Q2 2025, and up 12.15% year-over-year from $158.8 million in Q2 2025.
Darden Restaurants (DRI) Land & Improvements (2025 - 2026) Analysis & Trends
Darden Restaurants has reported Land & Improvements for 2 years, with the latest figure at $178.1 million in Q2 2026.
- On a quarterly basis, Land & Improvements rose 12.15% year-over-year to $178.1 million in Q2 2026; TTM through May 2026 was $178.1 million, a 12.15% increase from a year earlier, with the FY2026 full-year figure at $178.1 million, up 12.15% from the prior year.
- Land & Improvements was $178.1 million for Q2 2026 at Darden Restaurants, up from $158.8 million in the prior quarter.
- The five-year high for Land & Improvements was $178.1 million in Q2 2026, with the low at $158.8 million in Q2 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | - |
| 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 | - |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | - |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | 178.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | - |
| 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 | 172.24 Mn |
Darden Restaurants Land & Improvements 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=land-and-improvements&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();