Darden Restaurants (DRI) Total Liabilities (2009 - 2026)
Darden Restaurants' Total Liabilities came in at $11.16 billion for fiscal Q1 2027 (quarter ended Aug 30, 2026), up 5.9% from $10.53 billion a year earlier and up 4.7% from the prior quarter.
Darden Restaurants (DRI) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Darden Restaurants' Total Liabilities was $10.65 billion, up 3.7% from FY2025.
- Total Liabilities has increased in each of the last ten fiscal years, with a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $10.28 billion in FY2025 (+13.2%), $9.08 billion in FY2024 (+12.9%), $8.04 billion in FY2023 (+1.3%) and $7.94 billion in FY2022 (+1.2%).
- The fiscal Q1 2027 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2009.
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with growth averaging 7.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2025 (growth of 17.1%), and the weakest in fiscal Q1 2026 (a decline of 0.8%).
- Business Quant data shows DRI's Total Liabilities at $10.65 billion (Q4 2026), $10.78 billion (Q3 2026) and $10.86 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 2.09 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 2.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | 11.16 Bn |
| May 31, 2026 | 10.65 Bn |
| Feb 22, 2026 | 10.78 Bn |
| Nov 23, 2025 | 10.86 Bn |
| Aug 24, 2025 | 10.53 Bn |
| May 25, 2025 | 10.28 Bn |
| Feb 23, 2025 | 10.36 Bn |
| Nov 24, 2024 | 10.87 Bn |
| Aug 25, 2024 | 10.62 Bn |
| May 26, 2024 | 9.08 Bn |
| Feb 25, 2024 | 9.18 Bn |
| Nov 26, 2023 | 9.28 Bn |
| Aug 27, 2023 | 9.12 Bn |
| May 28, 2023 | 8.04 Bn |
| Feb 26, 2023 | 8.03 Bn |
| Nov 27, 2022 | 8.00 Bn |
| Aug 28, 2022 | 7.95 Bn |
| May 29, 2022 | 7.94 Bn |
| Feb 27, 2022 | 7.92 Bn |
| Nov 28, 2021 | 7.86 Bn |
Darden Restaurants Total Liabilities 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=total-liabilities&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();