Evaxion A (EVAX) Receivables - Net (2019 - 2026)
Evaxion A (EVAX) reported Receivables - Net of $418,000 for Q2 2026, down 1.4% from $424,000 a year earlier.
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Analysis
Evaxion A (EVAX) Receivables - Net (2019 - 2026) Analysis & Trends
At the end of FY2024, Evaxion A posted Receivables - Net of $44,000, down 97.7% from FY2023.
- Receivables - Net has a five-year compound annual growth rate of -40.2% (FY2019 to FY2024).
- By year, Receivables - Net came in at $1.95 million in FY2023 (-30.1%), $2.79 million in FY2022 (+145.3%), $1.14 million in FY2021 (-26.7%) and $1.55 million in FY2020 (+170.1%).
- The Q2 2026 figure ranks as the lowest quarterly Receivables - Net since Q4 2024.
- The high point for year-over-year Receivables - Net in five years was Q4 2022 (growth of 145.3%); the low point was Q4 2023 (a decline of 99.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn |
| 10 | Evaxion A | 26.27 Mn | -39.97 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 418,000.00 |
| Jun 30, 2025 | 424,000.00 |
| Jun 30, 2024 | 392,000.00 |
| Dec 31, 2023 | 1.95 Mn |
| Jun 30, 2023 | 425,000.00 |
| Dec 31, 2022 | 2.79 Mn |
| Jun 30, 2022 | 401,000.00 |
| Mar 31, 2022 | 245,000.00 |
| Dec 31, 2021 | 1.14 Mn |
| Dec 31, 2020 | 1.55 Mn |
| Dec 31, 2019 | 575,000.00 |
API Access
Evaxion A 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=EVAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "EVAX", "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=EVAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();