Scynexis (SCYX) Change in Inventory (2022 - 2023)
Scynexis (SCYX) recorded Change in Inventory of $1.46 million in Q4 2023, up 60.7% from $910,000 a year earlier but down 48.2% from the prior quarter.
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Analysis
Scynexis (SCYX) Change in Inventory (2022 - 2023) Analysis & Trends
For FY2023, Scynexis reported Change in Inventory of $8.85 million.
- Across earlier years, Change in Inventory came in at $436,000 in FY2022 (-91.8%) and $5.29 million in FY2021.
- Quarterly Change in Inventory has ranged from -$797,000 in Q3 2022 to $2.82 million in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at $2.82 million (Q3 2023), $1.86 million (Q2 2023) and $2.71 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 571.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 143.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Scynexis | 44.87 Mn | -26.23 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.46 Mn |
| Sep 30, 2023 | 2.82 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 2.71 Mn |
| Dec 31, 2022 | 910,000.00 |
| Sep 30, 2022 | -797,000.00 |
API Access
Scynexis Change in Inventory 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=change-in-inventory&ticker=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();