OptimizeRx (OPRX) Total Liabilities (2010 - 2026)
OptimizeRx (OPRX) posted Total Liabilities of $33.24 million for Q2 2026, down 33.5% from $49.98 million a year earlier and down 11.7% from the prior quarter.
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Analysis
OptimizeRx (OPRX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, OptimizeRx's Total Liabilities came in at $48.62 million, down 10.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 36.3% (FY2020 to FY2025).
- In prior years, OptimizeRx's Total Liabilities was $54.17 million in FY2024 (-4.7%), $56.82 million in FY2023 (+565.3%), $8.54 million in FY2022 (-11.1%) and $9.61 million in FY2021 (-7.2%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with growth averaging 57.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2024, with growth of 841.2%; the weakest was Q2 2026, with a decline of 33.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $37.65 million (Q1 2026), $48.62 million (Q4 2025) and $48.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | OptimizeRx | 147.11 Mn | 59.96 Mn | 15.69 Mn | 33.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.24 Mn |
| Mar 31, 2026 | 37.65 Mn |
| Dec 31, 2025 | 48.62 Mn |
| Sep 30, 2025 | 48.06 Mn |
| Jun 30, 2025 | 49.98 Mn |
| Mar 31, 2025 | 51.50 Mn |
| Dec 31, 2024 | 54.17 Mn |
| Sep 30, 2024 | 50.73 Mn |
| Jun 30, 2024 | 51.86 Mn |
| Mar 31, 2024 | 53.83 Mn |
| Dec 31, 2023 | 56.82 Mn |
| Sep 30, 2023 | 7.82 Mn |
| Jun 30, 2023 | 5.51 Mn |
| Mar 31, 2023 | 7.73 Mn |
| Dec 31, 2022 | 8.54 Mn |
| Sep 30, 2022 | 6.30 Mn |
| Jun 30, 2022 | 6.63 Mn |
| Mar 31, 2022 | 7.09 Mn |
| Dec 31, 2021 | 9.61 Mn |
| Sep 30, 2021 | 7.83 Mn |
API Access
OptimizeRx Total Liabilities 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-liabilities&ticker=OPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=OPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();