Tilray Brands (TLRY) Depreciation & Amortization - Total (2018 - 2019)
Tilray Brands (TLRY) posted Depreciation & Amortization - Total of $12.51 million for FY2020 (year ended Dec 31, 2020), up 34.8% from $9.28 million in FY2019.
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Analysis
Tilray Brands (TLRY) Depreciation & Amortization - Total (2018 - 2019) Analysis & Trends
Since FY2017, Tilray Brands has reported Depreciation & Amortization - Total for 4 fiscal years.
- Annual Depreciation & Amortization - Total has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 104.8% (FY2017 to FY2020).
- Business Quant data shows TLRY's Depreciation & Amortization - Total at $9.28 million in FY2019 (+172.2%), $3.41 million in FY2018 (+134.0%) and $1.46 million in FY2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn | - |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn | - |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn | 20.06 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn | - |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn | - |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn | - |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn | - |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn | - |
| 10 | Tilray Brands | 493.81 Mn | -536.60 Mn | 90.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 6.28 Mn |
| Sep 30, 2019 | 1.50 Mn |
| Mar 31, 2019 | 999,000.00 |
| Dec 31, 2018 | 2.94 Mn |
| Sep 30, 2018 | 208,000.00 |
| Jun 30, 2018 | 157,000.00 |
| Mar 31, 2018 | 372,000.00 |
API Access
Tilray Brands 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=TLRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "TLRY", "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=TLRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();