OneMedNet (ONMD) Total Liabilities (2021 - 2026)
OneMedNet's Total Liabilities was $4.88 million in Q2 2026, down 21.0% from $6.18 million a year earlier and down 12.6% from the prior quarter.
Analysis
OneMedNet (ONMD) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at OneMedNet came in at $5.12 million, down 74.0% from FY2024.
- Total Liabilities shows a four-year compound annual growth rate of -55.0% (FY2021 to FY2025).
- In earlier years, Total Liabilities was $19.68 million in FY2024 (+41.5%), $13.91 million in FY2023 (-49.7%), $27.65 million in FY2022 (-77.9%) and $124.91 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Total Liabilities since Q1 2021.
- Compared with a year earlier, Total Liabilities has declined for five straight quarters, with an average decline of 40.5% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 41.5%); the worst was Q4 2022 (a decline of 77.9%).
- Per Business Quant data, ONMD's Total Liabilities in the three quarters before Q2 2026 was $5.59 million (Q1 2026), $5.12 million (Q4 2025) and $5.45 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 | OneMedNet | 3.64 Mn | 2.27 Mn | -565,000.00 | 4.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.88 Mn |
| Mar 31, 2026 | 5.59 Mn |
| Dec 31, 2025 | 5.12 Mn |
| Sep 30, 2025 | 5.45 Mn |
| Jun 30, 2025 | 6.18 Mn |
| Mar 31, 2025 | 18.28 Mn |
| Dec 31, 2024 | 19.68 Mn |
| Sep 30, 2024 | 18.66 Mn |
| Jun 30, 2024 | 20.23 Mn |
| Mar 31, 2024 | 16.45 Mn |
| Dec 31, 2023 | 13.91 Mn |
| Sep 30, 2023 | 67.13 Mn |
| Jun 30, 2023 | 69.04 Mn |
| Mar 31, 2023 | 61.63 Mn |
| Dec 31, 2022 | 27.65 Mn |
| Sep 30, 2022 | 128.82 Mn |
| Jun 30, 2022 | 125.28 Mn |
| Mar 31, 2022 | 123.98 Mn |
| Dec 31, 2021 | 124.91 Mn |
| Sep 30, 2021 | 126.12 Mn |
API Access
OneMedNet 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=ONMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ONMD", "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=ONMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();