Scynexis (SCYX) Property, Plant & Equipment (Net) (2013 - 2022)
Scynexis' Property, Plant & Equipment (Net) was $61,000 in Q1 2022, down 77.5% from $271,000 a year earlier and down 46.0% from the prior quarter.
Powered by 
Analysis
Scynexis (SCYX) Property, Plant & Equipment (Net) (2013 - 2022) Analysis & Trends
At the end of FY2021, Property, Plant & Equipment (Net) at Scynexis came in at $113,000, down 62.1% from FY2020.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, though with a four-year compound annual growth rate of 130.5% (FY2017 to FY2021).
- In earlier years, Property, Plant & Equipment (Net) was $298,000 in FY2020 (-26.4%), $405,000 in FY2019 (-21.5%), $516,000 in FY2018 and $4,000 in FY2017.
- The Q1 2022 figure marks the lowest quarterly Property, Plant & Equipment (Net) since Q4 2017.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 11 straight quarters, with an average decline of 41.3% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2019 (growth of 11.7%); the worst was Q1 2022 (a decline of 77.5%).
- Per Business Quant data, SCYX's Property, Plant & Equipment (Net) in the three quarters before Q1 2022 was $113,000 (Q4 2021), $165,000 (Q3 2021) and $219,000 (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 29.29 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 23.58 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 5.80 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 25.74 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 10.69 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 13.62 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 8.55 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 5.83 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 19.03 Bn |
| 10 | Scynexis | 50.94 Mn | -20.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 61,000.00 |
| Dec 31, 2021 | 113,000.00 |
| Sep 30, 2021 | 165,000.00 |
| Jun 30, 2021 | 219,000.00 |
| Mar 31, 2021 | 271,000.00 |
| Dec 31, 2020 | 298,000.00 |
| Sep 30, 2020 | 326,000.00 |
| Jun 30, 2020 | 354,000.00 |
| Mar 31, 2020 | 381,000.00 |
| Dec 31, 2019 | 405,000.00 |
| Sep 30, 2019 | 433,000.00 |
| Jun 30, 2019 | 460,000.00 |
| Mar 31, 2019 | 488,000.00 |
| Dec 31, 2018 | 516,000.00 |
| Sep 30, 2018 | 462,000.00 |
| Jun 30, 2018 | 412,000.00 |
| Dec 31, 2017 | 4,000.00 |
| Mar 31, 2015 | 4.67 Mn |
| Dec 31, 2014 | 4.84 Mn |
| Sep 30, 2014 | 5.06 Mn |
API Access
Scynexis Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();