Darden Restaurants (DRI) Price to Earnings (2009 - 2026)
Darden Restaurants (DRI) posted Price to Earnings of 57.46 for Q2 2026, down 29.16% on a QoQ basis from 81.11 in Q1 2026, and down 26.87% year-over-year from 78.57 in Q2 2025.
Powered by 
Analysis
Darden Restaurants (DRI) Price to Earnings (2009 - 2026) Analysis & Trends
Darden Restaurants has reported Price to Earnings for 18 years, with the latest figure at 57.46 in Q2 2026.
- On a quarterly basis, Price to Earnings fell 26.87% year-over-year to 57.46 in Q2 2026; TTM through May 2026 was 19.28, a 15.23% decrease from a year earlier, with the FY2026 full-year figure at 19.28, down 15.22% from the prior year.
- Price to Earnings was 57.46 for Q2 2026 at Darden Restaurants, down from 81.11 in the prior quarter.
- The five-year high for Price to Earnings was 96.49 in Q3 2023, with the low at 55.44 in Q2 2022.
- Average Price to Earnings over 5 years is 76.52, with a median of 78.91 recorded in 2022.
- The sharpest annual moves came in 2022 and 2025: Price to Earnings tumbled 47.52% in 2022, then surged 37.94% in 2025.
- Over 5 years, Price to Earnings stood at 96.47 in 2022, then retreated by 8.96% to 87.83 in 2023, then rose by 3.98% to 91.33 in 2024, then retreated by 7.13% to 84.81 in 2025, then plunged by 32.25% to 57.46 in 2026.
- The last three Price to Earnings figures came in at 57.46 (Q2 2026), 81.11 (Q1 2026), and 84.81 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 57.46 |
| Feb 22, 2026 | 81.11 |
| Nov 23, 2025 | 84.81 |
| Aug 24, 2025 | 94.11 |
| May 25, 2025 | 78.57 |
| Feb 23, 2025 | 69.19 |
| Nov 24, 2024 | 91.33 |
| Aug 25, 2024 | 87.37 |
| May 26, 2024 | 56.96 |
| Feb 25, 2024 | 64.66 |
| Nov 26, 2023 | 87.83 |
| Aug 27, 2023 | 96.49 |
| May 28, 2023 | 61.98 |
| Feb 26, 2023 | 60.98 |
| Nov 27, 2022 | 96.47 |
| Aug 28, 2022 | 79.25 |
| May 29, 2022 | 55.44 |
| Feb 27, 2022 | 73.27 |
| Nov 28, 2021 | 92.92 |
| Aug 29, 2021 | 86.04 |
API Access
Darden Restaurants Price to Earnings 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=price-to-earnings&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();