Protagenic Therapeutics, Inc.\new (PTIX) Accumulated Expenses (2014 - 2026)
Protagenic Therapeutics, Inc.\new's Accumulated Expenses came in at $72,924 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 11.0% from the prior quarter.
Protagenic Therapeutics, Inc.\new (PTIX) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Protagenic Therapeutics, Inc.\new's Accumulated Expenses was $81,962, down 67.1% from FY2025.
- Going back by fiscal year, Accumulated Expenses was $249,063 in FY2025.
- Business Quant data shows PTIX's Accumulated Expenses at $81,962 (Q4 2026), $252,947 (Q3 2026) and $407,975 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.69 Bn | 1,140.28 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 649.22 Bn | 569.08 Bn | 17.30 Bn |
| 3 | AbbVie | 504.17 Bn | 477.29 Bn | 12.70 Bn |
| 4 | Merck | 366.35 Bn | 320.73 Bn | 12.21 Bn |
| 5 | Novartis Ag | 303.54 Bn | 267.53 Bn | 11.24 Bn |
| 6 | Astrazeneca | 269.49 Bn | 243.18 Bn | 12.86 Bn |
| 7 | Amgen | 242.61 Bn | 198.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.09 Bn | 169.29 Bn | 6.22 Bn |
| 9 | Pfizer | 172.48 Bn | 119.12 Bn | 10.94 Bn |
| 10 | Protagenic Therapeutics, Inc.\new | 1.36 Mn | 1.36 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72,924.00 |
| Mar 31, 2026 | 81,962.00 |
| Dec 31, 2025 | 252,947.00 |
| Sep 30, 2025 | 407,975.00 |
| Mar 31, 2025 | 249,063.00 |
| Sep 30, 2017 | 87,384.00 |
| Jun 30, 2017 | 30,970.00 |
| Mar 31, 2017 | 46,121.00 |
| Dec 31, 2016 | 116,255.00 |
| Sep 30, 2016 | 67,560.00 |
| Jun 30, 2016 | 14,600.00 |
| Mar 31, 2016 | 33,790.00 |
| Dec 31, 2015 | 8,128.00 |
| Sep 30, 2015 | 28,000.00 |
| Jun 30, 2015 | 21,000.00 |
| Mar 31, 2015 | 15,000.00 |
| Dec 31, 2014 | 10,000.00 |
| Sep 30, 2014 | 6,000.00 |
| Jun 30, 2014 | 3,000.00 |
Protagenic Therapeutics, Inc.\new 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=PTIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "PTIX", "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=PTIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();