Seres Therapeutics (MCRB) Finished Goods (2023 - 2024)
Seres Therapeutics' Finished Goods was $484,000 in Q1 2024.
Analysis
Seres Therapeutics (MCRB) Finished Goods (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.97 Bn | 1,099.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 614.97 Bn | 533.50 Bn | 17.26 Bn |
| 3 | AbbVie | 505.56 Bn | 478.67 Bn | 12.70 Bn |
| 4 | Merck | 366.86 Bn | 321.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.80 Bn | 261.79 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.62 Bn | 235.31 Bn | 12.86 Bn |
| 7 | Amgen | 235.78 Bn | 191.18 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 189.91 Bn | 164.11 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Seres Therapeutics | 23.29 Mn | -115.54 Mn | - |
API Access
Seres Therapeutics Finished Goods 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=finished-goods&ticker=MCRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "MCRB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=MCRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();