Tonix Pharmaceuticals Holding (TNXP) Receivables - Net (2023 - 2026)
Tonix Pharmaceuticals Holding's Receivables - Net came in at $11.81 million for Q2 2026, up 408.8% from $2.32 million a year earlier and up 33.8% from the prior quarter.
Tonix Pharmaceuticals Holding (TNXP) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Tonix Pharmaceuticals Holding's Receivables - Net was $6.27 million, up 70.3% from FY2024.
- Going back by year, Receivables - Net was $3.68 million in FY2024 (-19.8%) and $4.59 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Receivables - Net in data going back to Q3 2023.
- Year-over-year, Receivables - Net has increased for three consecutive quarters, with growth averaging 105.5% over the last seven quarters.
- Business Quant data shows TNXP's Receivables - Net at $8.82 million (Q1 2026), $6.27 million (Q4 2025) and $3.48 million (Q3 2025) in the three quarters before Q2 2026.
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 | Tonix Pharmaceuticals Holding | 166.24 Mn | 166.24 Mn | 12.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.81 Mn |
| Mar 31, 2026 | 8.82 Mn |
| Dec 31, 2025 | 6.27 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 3.31 Mn |
| Dec 31, 2024 | 3.68 Mn |
| Sep 30, 2024 | 4.01 Mn |
| Jun 30, 2024 | 3.34 Mn |
| Dec 31, 2023 | 4.59 Mn |
| Sep 30, 2023 | 1.56 Mn |
Tonix Pharmaceuticals Holding 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=TNXP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "TNXP", "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=TNXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();