Darden Restaurants (DRI) Non-Current Debt (2009 - 2023)
Darden Restaurants (DRI) reported Non-Current Debt of $880.9 million for fiscal Q3 2023 (quarter ended Feb 26, 2023), down 3.9% from $916.4 million a year earlier and down 0.6% from the prior quarter.
Darden Restaurants (DRI) Non-Current Debt (2009 - 2023) Analysis & Trends
At the end of FY2022 (ended May 29, 2022), Darden Restaurants posted Non-Current Debt of $901 million, down 3.1% from FY2021.
- Non-Current Debt has a five-year compound annual growth rate of -0.8% (FY2017 to FY2022).
- By fiscal year, Non-Current Debt came in at $929.8 million in FY2021 (+0.1%), $928.8 million in FY2020 (+0.1%), $927.7 million in FY2019 (+0.1%) and $926.5 million in FY2018 (-1.1%).
- The fiscal Q3 2023 figure ranks as the lowest quarterly Non-Current Debt since fiscal Q3 2017.
- Year over year, Non-Current Debt has now declined in each of the last five quarters, with an average decline of 2.1% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was fiscal Q1 2022 (growth of 0.8%); the low point was fiscal Q2 2023 (a decline of 4.7%).
- Per Business Quant data, the three fiscal quarters before Q3 2023 came in at $885.8 million (Q2 2023), $895.1 million (Q1 2023) and $901 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 11.78 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 9.46 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 50.00 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Feb 26, 2023 | 880.90 Mn |
| Nov 27, 2022 | 885.80 Mn |
| Aug 28, 2022 | 895.10 Mn |
| May 29, 2022 | 901.00 Mn |
| Feb 27, 2022 | 916.40 Mn |
| Nov 28, 2021 | 929.00 Mn |
| Aug 29, 2021 | 936.70 Mn |
| May 30, 2021 | 929.80 Mn |
| Feb 28, 2021 | 929.70 Mn |
| Nov 29, 2020 | 929.40 Mn |
| Aug 30, 2020 | 929.10 Mn |
| May 31, 2020 | 928.80 Mn |
| Feb 23, 2020 | 928.50 Mn |
| Nov 24, 2019 | 928.20 Mn |
| Aug 25, 2019 | 928.00 Mn |
| May 26, 2019 | 927.70 Mn |
| Feb 24, 2019 | 927.40 Mn |
| Nov 25, 2018 | 927.10 Mn |
| Aug 26, 2018 | 926.80 Mn |
| May 27, 2018 | 926.50 Mn |
Darden Restaurants Non-Current Debt 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=non-current-debt&ticker=DRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();