OptimizeRx (OPRX) Accumulated Expenses (2010 - 2026)
OptimizeRx's Accumulated Expenses came in at $5.39 million for Q2 2026, down 56.9% from $12.49 million a year earlier but up 50.0% from the prior quarter.
OptimizeRx (OPRX) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, OptimizeRx's Accumulated Expenses was $11.59 million, up 36.6% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 36.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $8.49 million in FY2024 (+10.1%), $7.71 million in FY2023 (+196.2%), $2.6 million in FY2022 (-10.4%) and $2.9 million in FY2021 (+19.9%).
- The five-year range for quarterly Accumulated Expenses is $1.5 million (Q2 2023) to $12.49 million (Q2 2025).
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 31.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q2 2024 (growth of 253.2%), and the weakest in Q1 2026 (a decline of 61.3%).
- Business Quant data shows OPRX's Accumulated Expenses at $3.59 million (Q1 2026), $11.59 million (Q4 2025) and $10.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | OptimizeRx | 157.28 Mn | 70.13 Mn | 15.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.39 Mn |
| Mar 31, 2026 | 3.59 Mn |
| Dec 31, 2025 | 11.59 Mn |
| Sep 30, 2025 | 10.20 Mn |
| Jun 30, 2025 | 12.49 Mn |
| Mar 31, 2025 | 9.28 Mn |
| Dec 31, 2024 | 8.49 Mn |
| Sep 30, 2024 | 5.56 Mn |
| Jun 30, 2024 | 5.31 Mn |
| Mar 31, 2024 | 7.28 Mn |
| Dec 31, 2023 | 7.71 Mn |
| Sep 30, 2023 | 3.11 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 1.64 Mn |
| Mar 31, 2022 | 1.72 Mn |
| Dec 31, 2021 | 2.90 Mn |
| Sep 30, 2021 | 2.46 Mn |
OptimizeRx 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=OPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "OPRX", "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=OPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();