Decoy Therapeutics (DCOY) Depreciation and Depletion (2015 - 2019)
Decoy Therapeutics' Depreciation and Depletion came in at $10,054 for Q2 2019, down 83.2% from $59,934 a year earlier and down 72.4% from the prior quarter.
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Analysis
Decoy Therapeutics (DCOY) Depreciation and Depletion (2015 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Decoy Therapeutics reported Depreciation and Depletion of $150,664, down 45.7% year-over-year; for FY2018, it was $228,158, down 29.7% from FY2017.
- Depreciation and Depletion carries a four-year compound annual growth rate of 108.8% (FY2014 to FY2018).
- Going back by year, Depreciation and Depletion was $324,548 in FY2017 (+17.1%), $277,231 in FY2016 (+455.8%), $49,881 in FY2015 (+315.8%) and $11,997 in FY2014.
- The Q2 2019 figure represents the lowest quarterly Depreciation and Depletion since Q1 2015.
- Year-over-year, Depreciation and Depletion has declined for seven consecutive quarters, with an average decline of 34.2% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2016 (growth of 755.0%), and the weakest in Q2 2019 (a decline of 83.2%).
- Business Quant data shows DCOY's Depreciation and Depletion at $36,452 (Q1 2019), $51,204 (Q4 2018) and $52,954 (Q3 2018) in the three quarters before Q2 2019.
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 | Decoy Therapeutics | 989,460.49 | 989,460.49 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 10,054.00 |
| Mar 31, 2019 | 36,452.00 |
| Dec 31, 2018 | 51,204.00 |
| Sep 30, 2018 | 52,954.00 |
| Jun 30, 2018 | 59,934.00 |
| Mar 31, 2018 | 64,066.00 |
| Dec 31, 2017 | 73,985.00 |
| Sep 30, 2017 | 79,454.00 |
| Jun 30, 2017 | 79,742.00 |
| Mar 31, 2017 | 91,367.00 |
| Dec 31, 2016 | 111,858.00 |
| Sep 30, 2016 | 75,415.00 |
| Jun 30, 2016 | 59,145.00 |
| Mar 31, 2016 | 30,813.00 |
| Dec 31, 2015 | 13,083.00 |
| Sep 30, 2015 | 16,084.00 |
| Jun 30, 2015 | 11,355.00 |
| Mar 31, 2015 | 9,359.00 |
API Access
Decoy 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=DCOY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DCOY", "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=DCOY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();