Neuphoria Therapeutics (NEUP) Prepaid Assets (2023 - 2026)
Neuphoria Therapeutics' Prepaid Assets came in at $389,772 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 47.3% from $740,193 a year earlier and down 36.3% from the prior quarter.
Neuphoria Therapeutics (NEUP) Prepaid Assets (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Neuphoria Therapeutics' Prepaid Assets data covers 10 quarters.
- Prepaid Assets carries a three-year compound annual growth rate of -21.2% (FY2023 to FY2026).
- Going back by fiscal year, Prepaid Assets was $740,193 in FY2025 (+61.3%), $458,765 in FY2024 (-42.5%) and $797,478 in FY2023.
- The five-year range for quarterly Prepaid Assets is $18,469 (fiscal Q2 2025) to $797,478 (fiscal Q4 2023).
- Year-over-year, Prepaid Assets increased in two of the last four quarters, with growth averaging 14.0%.
- Business Quant data shows NEUP's Prepaid Assets at $611,913 (Q3 2026), $26,954 (Q2 2026) and $222,319 (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Neuphoria Therapeutics | 435.69 Mn | 360.50 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389,772.00 |
| Mar 31, 2026 | 611,913.00 |
| Dec 31, 2025 | 26,954.00 |
| Sep 30, 2025 | 222,319.00 |
| Jun 30, 2025 | 740,193.00 |
| Mar 31, 2025 | 20,897.00 |
| Dec 31, 2024 | 18,469.00 |
| Sep 30, 2024 | 231,108.00 |
| Jun 30, 2024 | 458,765.00 |
| Jun 30, 2023 | 797,478.00 |
Neuphoria Therapeutics Prepaid Assets 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=prepaid-assets&ticker=NEUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "NEUP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=NEUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();