Neuphoria Therapeutics (NEUP) Exchange Rate Effect (2023 - 2026)
Neuphoria Therapeutics (NEUP) reported Exchange Rate Effect of -$788,978 for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $49,606 a year earlier.
Neuphoria Therapeutics (NEUP) Exchange Rate Effect (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Neuphoria Therapeutics posted Exchange Rate Effect of $14,032.
- By fiscal year, Exchange Rate Effect came in at -$3,750 in FY2025, $76,974 in FY2024, -$243,822 in FY2023 and -$570,458 in FY2022.
- The fiscal Q4 2026 figure ranks as the lowest quarterly Exchange Rate Effect in data going back to fiscal Q1 2024.
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $527,059 (Q3 2026), $295,406 (Q2 2026) and -$19,455 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Neuphoria Therapeutics | 443.79 Mn | 368.60 Mn | - | -788,978.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -788,978.00 |
| Mar 31, 2026 | 527,059.00 |
| Dec 31, 2025 | 295,406.00 |
| Sep 30, 2025 | -19,455.00 |
| Jun 30, 2025 | 49,606.00 |
| Mar 31, 2025 | 84,969.00 |
| Dec 31, 2024 | -276,692.00 |
| Sep 30, 2024 | 138,367.00 |
| Jun 30, 2024 | 72,367.00 |
| Mar 31, 2024 | -185,862.00 |
| Dec 31, 2023 | 343,242.00 |
| Sep 30, 2023 | -152,773.00 |
Neuphoria Therapeutics Exchange Rate Effect 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=exchange-rate-effect&ticker=NEUP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NEUP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();