Reviva Pharmaceuticals Holdings (RVPH) Operating Expenses (2018 - 2026)
Reviva Pharmaceuticals Holdings (RVPH) posted Operating Expenses of $2.62 million for Q2 2026, down 56.9% from $6.07 million a year earlier and down 20.0% from the prior quarter.
Reviva Pharmaceuticals Holdings (RVPH) Operating Expenses (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Reviva Pharmaceuticals Holdings was $13.48 million, down 50.7% year-over-year; for FY2025, it was $20.2 million, down 34.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 52.7% (FY2020 to FY2025).
- In prior years, Reviva Pharmaceuticals Holdings' Operating Expenses was $30.8 million in FY2024 (-22.0%), $39.5 million in FY2023 (+39.9%), $28.23 million in FY2022 (+179.4%) and $10.1 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q3 2021.
- On a year-over-year basis, Operating Expenses has declined in each of the last nine quarters, with an average decline of 38.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 298.0%; the weakest was Q2 2026, with a decline of 56.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.27 million (Q1 2026), $3.56 million (Q4 2025) and $4.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Reviva Pharmaceuticals Holdings | 4.46 Mn | -82.75 Mn | - | 2.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.43 Mn |
| Jun 30, 2026 | 2.62 Mn |
| Mar 31, 2026 | 3.27 Mn |
| Dec 31, 2025 | 3.56 Mn |
| Sep 30, 2025 | 4.03 Mn |
| Jun 30, 2025 | 6.07 Mn |
| Mar 31, 2025 | 6.54 Mn |
| Dec 31, 2024 | 6.28 Mn |
| Sep 30, 2024 | 8.46 Mn |
| Jun 30, 2024 | 8.13 Mn |
| Mar 31, 2024 | 7.92 Mn |
| Dec 31, 2023 | 9.62 Mn |
| Sep 30, 2023 | 11.56 Mn |
| Jun 30, 2023 | 11.34 Mn |
| Mar 31, 2023 | 6.98 Mn |
| Dec 31, 2022 | 8.89 Mn |
| Sep 30, 2022 | 5.50 Mn |
| Jun 30, 2022 | 5.52 Mn |
| Mar 31, 2022 | 7.45 Mn |
| Dec 31, 2021 | 3.96 Mn |
Reviva Pharmaceuticals Holdings Operating 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=operating-expenses&ticker=RVPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RVPH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RVPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();