Intellia Therapeutics (NTLA) Depreciation and Depletion (2015 - 2017)
Intellia Therapeutics (NTLA) recorded Depreciation and Depletion of $3 million in FY2017, up 172.7% from $1.1 million in FY2016.
Powered by 
Analysis
Intellia Therapeutics (NTLA) Depreciation and Depletion (2015 - 2017) Analysis & Trends
Starting with FY2014, Intellia Therapeutics' Depreciation and Depletion history includes 4 years.
- Annual Depreciation and Depletion has a three-year compound annual growth rate of 900.0% (FY2014 to FY2017).
- Per Business Quant data, NTLA's Depreciation and Depletion was $1.1 million in FY2016 (+266.7%), $300,000 in FY2015 and $3,000 in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | - |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | - |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Intellia Therapeutics | 1.70 Bn | 1.70 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 660,000.00 |
| Dec 31, 2016 | 401,000.00 |
| Sep 30, 2016 | 265,000.00 |
| Jun 30, 2016 | 247,000.00 |
| Mar 31, 2016 | 187,000.00 |
| Dec 31, 2015 | 104,000.00 |
| Sep 30, 2015 | 96,000.00 |
| Jun 30, 2015 | 67,000.00 |
| Mar 31, 2015 | 33,000.00 |
API Access
Intellia Therapeutics 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=NTLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "NTLA", "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=NTLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();