OptimizeRx (OPRX) Total Debt (2023 - 2026)
OptimizeRx (OPRX) reported Total Debt of $19.01 million for Q2 2026, down 33.1% from $28.43 million a year earlier and down 18.6% from the prior quarter.
OptimizeRx (OPRX) Total Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, OptimizeRx posted Total Debt of $25.68 million, down 21.8% from FY2024.
- By year, Total Debt came in at $32.82 million in FY2024 (-9.4%) and $36.23 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Total Debt in data going back to Q4 2023.
- Year over year, Total Debt has now declined in each of the last seven quarters, with an average decline of 20.4% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $23.34 million (Q1 2026), $25.68 million (Q4 2025) and $28.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 139,037.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 25.10 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.46 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 994.00 Mn |
| 10 | OptimizeRx | 147.11 Mn | 59.96 Mn | 15.69 Mn | 19.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.01 Mn |
| Mar 31, 2026 | 23.34 Mn |
| Dec 31, 2025 | 25.68 Mn |
| Sep 30, 2025 | 28.10 Mn |
| Jun 30, 2025 | 28.43 Mn |
| Mar 31, 2025 | 32.49 Mn |
| Dec 31, 2024 | 32.82 Mn |
| Sep 30, 2024 | 35.28 Mn |
| Jun 30, 2024 | 35.60 Mn |
| Mar 31, 2024 | 35.91 Mn |
| Dec 31, 2023 | 36.23 Mn |
OptimizeRx Total Debt 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=total-debt&ticker=OPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=OPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();