OneMedNet (ONMD) Accumulated Expenses (2021 - 2023)
OneMedNet's Accumulated Expenses was $2.84 million in Q3 2023, up 120.7% from $1.29 million a year earlier and up 39.1% from the prior quarter.
Analysis
OneMedNet (ONMD) Accumulated Expenses (2021 - 2023) Analysis & Trends
At the end of FY2022, Accumulated Expenses at OneMedNet came in at $690,771, up 448.4% from FY2021.
- In earlier years, Accumulated Expenses was $125,972 in FY2021.
- The Q3 2023 figure marks the highest quarterly Accumulated Expenses in data going back to Q1 2021.
- Compared with a year earlier, Accumulated Expenses has increased for four straight quarters, with growth averaging 233.7% over the last four quarters.
- Per Business Quant data, ONMD's Accumulated Expenses in the three quarters before Q3 2023 was $2.04 million (Q2 2023), $1.93 million (Q1 2023) and $690,771 (Q4 2022).
Peer Set
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 | OneMedNet | 33.36 Mn | 32.00 Mn | -565,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 2.84 Mn |
| Jun 30, 2023 | 2.04 Mn |
| Mar 31, 2023 | 1.93 Mn |
| Dec 31, 2022 | 690,771.00 |
| Sep 30, 2022 | 1.29 Mn |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 516,408.00 |
| Dec 31, 2021 | 125,972.00 |
| Sep 30, 2021 | 16,132.00 |
| Jun 30, 2021 | 51,812.00 |
| Mar 31, 2021 | 45,845.00 |
API Access
OneMedNet 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=ONMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ONMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();