Darden Restaurants (DRI) Change in Other Operating Liabilities (2009 - 2026)
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Analysis
Darden Restaurants (DRI) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | - |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | -454.60 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | -49.21 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -110.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | -85.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | -6.65 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 30, 2026 | -110.80 Mn |
| May 31, 2026 | -26.30 Mn |
| Feb 22, 2026 | 116.40 Mn |
| Nov 23, 2025 | 8.60 Mn |
| Aug 24, 2025 | -72.10 Mn |
| May 25, 2025 | -48.80 Mn |
| Feb 23, 2025 | 101.00 Mn |
| Nov 24, 2024 | 29.30 Mn |
| Aug 25, 2024 | -62.30 Mn |
| May 26, 2024 | -3.20 Mn |
| Feb 25, 2024 | 95.10 Mn |
| Nov 26, 2023 | 41.10 Mn |
| Aug 27, 2023 | -57.20 Mn |
| May 28, 2023 | 1.00 Mn |
| Feb 26, 2023 | 80.10 Mn |
| Nov 27, 2022 | 16.40 Mn |
| Aug 28, 2022 | -48.90 Mn |
| May 29, 2022 | -34.80 Mn |
| Feb 27, 2022 | 54.80 Mn |
| Nov 28, 2021 | 32.50 Mn |
API Access
Darden Restaurants Change in Other Operating 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=change-in-other-operating-liabilities&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();