Tonix Pharmaceuticals Holding (TNXP) Accumulated Expenses (2010 - 2024)
Tonix Pharmaceuticals Holding's Accumulated Expenses came in at $33,000 for Q2 2024.
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Analysis
Tonix Pharmaceuticals Holding (TNXP) Accumulated Expenses (2010 - 2024) Analysis & Trends
At the end of FY2023, Tonix Pharmaceuticals Holding's Accumulated Expenses was $44,000.
- Accumulated Expenses carries a five-year compound annual growth rate of -48.8% (FY2018 to FY2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Tonix Pharmaceuticals Holding | 78.52 Mn | -653.62 Mn | 15.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 33,000.00 |
| Dec 31, 2023 | 44,000.00 |
| Sep 30, 2023 | 32,000.00 |
| Dec 31, 2018 | 1.25 Mn |
| Sep 30, 2018 | 1.30 Mn |
| Jun 30, 2018 | 872,000.00 |
| Mar 31, 2018 | 1.10 Mn |
| Dec 31, 2017 | 830,000.00 |
| Sep 30, 2017 | 475,000.00 |
| Jun 30, 2017 | 651,000.00 |
| Mar 31, 2017 | 939,000.00 |
| Dec 31, 2016 | 1.24 Mn |
| Sep 30, 2016 | 1.68 Mn |
| Jun 30, 2016 | 2.26 Mn |
| Mar 31, 2016 | 1.84 Mn |
| Dec 31, 2015 | 3.60 Mn |
| Sep 30, 2015 | 2.68 Mn |
| Jun 30, 2015 | 1.85 Mn |
| Mar 31, 2015 | 1.53 Mn |
| Dec 31, 2014 | 1.90 Mn |
API Access
Tonix Pharmaceuticals Holding Accumulated Expenses 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=accumulated-expenses&ticker=TNXP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TNXP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();