Scynexis (SCYX) Depreciation & Amortization (CF) (2013 - 2023)
Scynexis (SCYX) reported Depreciation & Amortization (CF) of $129,000 for Q4 2023, down 16.8% from $155,000 a year earlier and down 12.2% from the prior quarter.
Scynexis (SCYX) Depreciation & Amortization (CF) (2013 - 2023) Analysis & Trends
For FY2023, Scynexis posted Depreciation & Amortization (CF) of $580,000, down 4.3% from FY2022.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of 61.4% (FY2018 to FY2023).
- By year, Depreciation & Amortization (CF) came in at $606,000 in FY2022 (+59.9%), $379,000 in FY2021 (+241.4%), $111,000 in FY2020 (unchanged) and $111,000 in FY2019 (+109.4%).
- The Q4 2023 figure ranks as the lowest quarterly Depreciation & Amortization (CF) since Q3 2021.
- Year over year, Depreciation & Amortization (CF) gained in four of the last eight quarters, with growth averaging 98.1%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q1 2022 (growth of 474.1%); the low point was Q4 2022 (a decline of 37.0%).
- Per Business Quant data, the three quarters before Q4 2023 came in at $147,000 (Q3 2023), $153,000 (Q2 2023) and $151,000 (Q1 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Scynexis | 49.15 Mn | -21.95 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 129,000.00 |
| Sep 30, 2023 | 147,000.00 |
| Jun 30, 2023 | 153,000.00 |
| Mar 31, 2023 | 151,000.00 |
| Dec 31, 2022 | 155,000.00 |
| Sep 30, 2022 | 150,000.00 |
| Jun 30, 2022 | 146,000.00 |
| Mar 31, 2022 | 155,000.00 |
| Dec 31, 2021 | 246,000.00 |
| Sep 30, 2021 | 48,000.00 |
| Jun 30, 2021 | 58,000.00 |
| Mar 31, 2021 | 27,000.00 |
| Dec 31, 2020 | 118,000.00 |
| Sep 30, 2020 | 28,000.00 |
| Jun 30, 2020 | 26,000.00 |
| Mar 31, 2020 | 28,000.00 |
| Dec 31, 2019 | 26,000.00 |
| Sep 30, 2019 | 26,000.00 |
| Jun 30, 2019 | 30,000.00 |
| Mar 31, 2019 | 29,000.00 |
Scynexis Depreciation & Amortization (CF) 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-cf&ticker=SCYX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "SCYX", "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-cf&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();