Immuneering (IMRX) Receivables - Net (2020 - 2023)
Immuneering's Receivables - Net came in at $1,046 for Q1 2023, down 99.6% from $279,614 a year earlier and down 91.6% from the prior quarter.
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Analysis
Immuneering (IMRX) Receivables - Net (2020 - 2023) Analysis & Trends
At the end of FY2022, Immuneering's Receivables - Net was $12,417, down 95.0% from FY2021.
- Going back by year, Receivables - Net was $246,040 in FY2021 (-50.8%) and $500,110 in FY2020.
- The Q1 2023 figure represents the lowest quarterly Receivables - Net in data going back to Q4 2020.
- Year-over-year, Receivables - Net has declined for four consecutive quarters, with an average decline of 78.9% over the last five quarters.
- Business Quant data shows IMRX's Receivables - Net at $12,417 (Q4 2022), $70,180 (Q3 2022) and $178,425 (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Immuneering | 269.14 Mn | 269.14 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 1,046.00 |
| Dec 31, 2022 | 12,417.00 |
| Sep 30, 2022 | 70,180.00 |
| Jun 30, 2022 | 178,425.00 |
| Mar 31, 2022 | 279,614.00 |
| Dec 31, 2021 | 246,040.00 |
| Sep 30, 2021 | 471,375.00 |
| Jun 30, 2021 | 495,105.00 |
| Dec 31, 2020 | 500,110.00 |
API Access
Immuneering Receivables - 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=receivables-net&ticker=IMRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "IMRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();