OptimizeRx (OPRX) Operating Expenses (2010 - 2026)
OptimizeRx (OPRX) recorded Operating Expenses of $20.59 million in Q2 2026, down 20.8% from $25.99 million a year earlier but up 5.9% from the prior quarter.
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Analysis
OptimizeRx (OPRX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, OptimizeRx's Operating Expenses came in at $71.04 million as of Jun 30, 2026, down 21.4% year-over-year; for FY2025, it came in at $61.9 million, down 15.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $73.08 million in FY2024 (+5.5%), $69.3 million in FY2023 (+35.2%), $51.26 million in FY2022 (+45.3%) and $35.28 million in FY2021 (+34.4%).
- Quarterly Operating Expenses has ranged from $9.04 million in Q3 2021 to $28.75 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 115.8% in Q4 2023, against a decline of 36.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.45 million (Q1 2026), $15.53 million (Q4 2025) and $15.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | OptimizeRx | 147.11 Mn | 59.96 Mn | 15.69 Mn | 20.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.59 Mn |
| Mar 31, 2026 | 19.45 Mn |
| Dec 31, 2025 | 15.53 Mn |
| Sep 30, 2025 | 15.47 Mn |
| Jun 30, 2025 | 25.99 Mn |
| Mar 31, 2025 | 24.03 Mn |
| Dec 31, 2024 | 18.39 Mn |
| Sep 30, 2024 | 22.01 Mn |
| Jun 30, 2024 | 15.45 Mn |
| Mar 31, 2024 | 17.23 Mn |
| Dec 31, 2023 | 28.75 Mn |
| Sep 30, 2023 | 13.35 Mn |
| Jun 30, 2023 | 12.67 Mn |
| Mar 31, 2023 | 14.50 Mn |
| Dec 31, 2022 | 13.32 Mn |
| Sep 30, 2022 | 13.18 Mn |
| Jun 30, 2022 | 12.90 Mn |
| Mar 31, 2022 | 11.86 Mn |
| Dec 31, 2021 | 11.77 Mn |
| Sep 30, 2021 | 9.04 Mn |
API Access
OptimizeRx 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=OPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=OPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();