Darden Restaurants (DRI) Assets (2009 - 2026)
Darden Restaurants (DRI) recorded Assets of $13.23 billion in fiscal Q1 2027 (quarter ended Aug 30, 2026), up 3.7% from $12.76 billion a year earlier and up 2.8% from the prior quarter.
Darden Restaurants (DRI) Assets (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Darden Restaurants reported Assets of $12.86 billion, up 2.2% from FY2025.
- Annual Assets has increased for four straight fiscal years, with a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- Across earlier fiscal years, Assets came in at $12.59 billion in FY2025 (+11.2%), $11.32 billion in FY2024 (+10.6%), $10.24 billion in FY2023 (+1.0%) and $10.14 billion in FY2022 (-4.9%).
- The fiscal Q1 2027 figure is the highest quarterly Assets in data going back to fiscal Q4 2009.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 14.3% in fiscal Q2 2025, against a decline of 5.0% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.86 billion (Q4 2026), $12.89 billion (Q3 2026) and $12.94 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 28.29 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 8.68 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 9.43 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 25.26 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 13.23 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 25.26 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 3.67 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 1.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 13.23 Bn |
| May 31, 2026 | 12.86 Bn |
| Feb 22, 2026 | 12.89 Bn |
| Nov 23, 2025 | 12.94 Bn |
| Aug 24, 2025 | 12.76 Bn |
| May 25, 2025 | 12.59 Bn |
| Feb 23, 2025 | 12.56 Bn |
| Nov 24, 2024 | 12.94 Bn |
| Aug 25, 2024 | 12.76 Bn |
| May 26, 2024 | 11.32 Bn |
| Feb 25, 2024 | 11.36 Bn |
| Nov 26, 2023 | 11.32 Bn |
| Aug 27, 2023 | 11.27 Bn |
| May 28, 2023 | 10.24 Bn |
| Feb 26, 2023 | 10.08 Bn |
| Nov 27, 2022 | 10.03 Bn |
| Aug 28, 2022 | 10.01 Bn |
| May 29, 2022 | 10.14 Bn |
| Feb 27, 2022 | 10.21 Bn |
| Nov 28, 2021 | 10.40 Bn |
Darden Restaurants Assets 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=assets&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();