Darden Restaurants (DRI) Price to Book (2009 - 2026)
Darden Restaurants (DRI) posted Price to Book of 10.54 for Q2 2026, down 10.89% on a QoQ basis from 11.83 in Q1 2026, and up 2.05% year-over-year from 10.33 in Q2 2025.
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Analysis
Darden Restaurants (DRI) Price to Book (2009 - 2026) Analysis & Trends
Darden Restaurants has reported Price to Book for 18 years, with the latest figure at 10.54 in Q2 2026.
- On a quarterly basis, Price to Book rose 2.05% year-over-year to 10.54 in Q2 2026; TTM through May 2026 was 10.54, a 2.05% increase from a year earlier, with the FY2026 full-year figure at 10.54, up 2.05% from the prior year.
- Price to Book was 10.54 for Q2 2026 at Darden Restaurants, down from 11.83 in the prior quarter.
- The five-year high for Price to Book was 11.83 in Q1 2026, with the low at 7.1 in Q2 2022.
- Average Price to Book over 5 years is 9.17, with a median of 9.03 recorded in 2022.
- The sharpest annual moves came in 2024 and 2025: Price to Book fell 11.79% in 2024, then jumped 31.97% in 2025.
- Over 5 years, Price to Book stood at 8.94 in 2022, then rose by 2.2% to 9.13 in 2023, then gained by 3.86% to 9.49 in 2024, then grew by 1.94% to 9.67 in 2025, then gained by 8.99% to 10.54 in 2026.
- The last three Price to Book figures came in at 10.54 (Q2 2026), 11.83 (Q1 2026), and 9.67 (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 | 10.54 |
| Feb 22, 2026 | 11.83 |
| Nov 23, 2025 | 9.67 |
| Aug 24, 2025 | 10.90 |
| May 25, 2025 | 10.33 |
| Feb 23, 2025 | 10.16 |
| Nov 24, 2024 | 9.49 |
| Aug 25, 2024 | 8.44 |
| May 26, 2024 | 7.83 |
| Feb 25, 2024 | 9.28 |
| Nov 26, 2023 | 9.13 |
| Aug 27, 2023 | 8.74 |
| May 28, 2023 | 8.87 |
| Feb 26, 2023 | 8.55 |
| Nov 27, 2022 | 8.94 |
| Aug 28, 2022 | 7.41 |
| May 29, 2022 | 7.10 |
| Feb 27, 2022 | 7.92 |
| Nov 28, 2021 | 7.06 |
| Aug 29, 2021 | 7.22 |
API Access
Darden Restaurants Price to Book 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-book&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();