Luckin Coffee (LKNCY) Depreciation & Amortization - Total (2018 - 2019)
Luckin Coffee's Depreciation & Amortization - Total was $85.1 million in FY2023, up 49.8% from $56.8 million in FY2022.
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Analysis
Luckin Coffee (LKNCY) Depreciation & Amortization - Total (2018 - 2019) Analysis & Trends
From FY2017 onward, Luckin Coffee has reported Depreciation & Amortization - Total for 7 years.
- Depreciation & Amortization - Total shows a five-year compound annual growth rate of 39.4% (FY2018 to FY2023).
- The FY2023 figure marks the highest annual Depreciation & Amortization - Total in data going back to FY2017.
- Per Business Quant data, Depreciation & Amortization - Total in earlier years was $56.8 million in FY2022 (-22.2%), $73.01 million in FY2021 (-1.4%), $74.07 million in FY2020 (+25.2%) and $59.14 million in FY2019 (+266.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | - |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 361.60 Mn |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | - |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | - |
| 10 | Luckin Coffee | 10.86 Bn | 5.95 Bn | 1.64 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 18.55 Mn |
| Sep 30, 2019 | 15.18 Mn |
| Jun 30, 2019 | 12.89 Mn |
| Dec 31, 2018 | 8.52 Mn |
| Sep 30, 2018 | 4.25 Mn |
| Jun 30, 2018 | 2.35 Mn |
API Access
Luckin Coffee Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=LKNCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "LKNCY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-total&ticker=LKNCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();