Darden Restaurants (DRI) Other Non Operating Income (2019 - 2022)
Darden Restaurants' Other Non Operating Income came in at $700,000 for fiscal Q4 2022 (quarter ended May 29, 2022), compared with -$300,000 a year earlier.
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Analysis
Darden Restaurants (DRI) Other Non Operating Income (2019 - 2022) Analysis & Trends
For FY2021 (ended May 30, 2021), Darden Restaurants' Other Non Operating Income was -$8.7 million.
- Going back by fiscal year, Other Non Operating Income was -$151.6 million in FY2020.
- The fiscal Q4 2022 figure represents the highest quarterly Other Non Operating Income since fiscal Q4 2020.
- Business Quant data shows DRI's Other Non Operating Income at -$200,000 (Q3 2022), -$300,000 (Q2 2022) and -$200,000 (Q1 2022) in the three fiscal quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 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 |
| 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 |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 29, 2022 | 700,000.00 |
| Feb 27, 2022 | -200,000.00 |
| Nov 28, 2021 | -300,000.00 |
| Aug 29, 2021 | -200,000.00 |
| May 30, 2021 | -300,000.00 |
| Feb 28, 2021 | -500,000.00 |
| Nov 29, 2020 | -400,000.00 |
| Aug 30, 2020 | -7.50 Mn |
| May 31, 2020 | 1.70 Mn |
| Nov 24, 2019 | -153.30 Mn |
API Access
Darden Restaurants Other Non Operating Income 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=other-non-operating-income&ticker=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-income", "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=other-non-operating-income&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();