Exelixis (EXEL) Depreciation and Depletion (2016 - 2021)
Exelixis (EXEL) reported Depreciation and Depletion of $25.7 million for FY2023, up 23.0% from $20.9 million in FY2022.
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Analysis
Exelixis (EXEL) Depreciation and Depletion (2016 - 2021) Analysis & Trends
Dating back to FY2010, Exelixis' Depreciation and Depletion record includes 13 years.
- Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 39.3% (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Depreciation and Depletion in data going back to FY2010.
- According to Business Quant data, Depreciation and Depletion came in at $20.9 million in FY2022 (+53.7%), $13.6 million in FY2021 (+49.5%) and $9.1 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | - |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Exelixis | 14.53 Bn | 10.87 Bn | 608.03 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 1, 2021 | 3.00 Mn |
| Sep 27, 2019 | 2.10 Mn |
| Jun 28, 2019 | 2.00 Mn |
| Mar 29, 2019 | 2.00 Mn |
| Dec 28, 2018 | 2.00 Mn |
| Sep 28, 2018 | 1.70 Mn |
| Jun 29, 2018 | 800,000.00 |
| Mar 30, 2018 | 400,000.00 |
| Dec 29, 2017 | 400,000.00 |
| Sep 29, 2017 | 300,000.00 |
| Jun 30, 2017 | 300,000.00 |
| Mar 31, 2017 | 300,000.00 |
| Dec 30, 2016 | 200,000.00 |
| Sep 30, 2016 | 300,000.00 |
API Access
Exelixis Depreciation and Depletion 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-depletion&ticker=EXEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "EXEL", "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-depletion&ticker=EXEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();