Regenerative Medical Technology (RMTG) Accumulated Expenses (2017 - 2026)
Regenerative Medical Technology (RMTG) recorded Accumulated Expenses of $19.62 million in Q2 2026, up 58.2% from $12.4 million a year earlier and up 8.9% from the prior quarter.
Regenerative Medical Technology (RMTG) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, Regenerative Medical Technology reported Accumulated Expenses of $16.56 million, up 57.6% from FY2024.
- Annual Accumulated Expenses has increased for five straight years, with a five-year compound annual growth rate of 111.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $10.5 million in FY2024 (+59.2%), $6.6 million in FY2023 (+41.7%), $4.66 million in FY2022 (+118.7%) and $2.13 million in FY2021 (+445.4%).
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2017.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 55.2% over the last seven quarters.
- Over the past five years, the year-over-year growth in Accumulated Expenses ranged from 25.7% (Q3 2024) to 445.4% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $18.02 million (Q1 2026), $16.56 million (Q4 2025) and $15.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Regenerative Medical Technology | 824,338.06 | -3.70 Mn | 2.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.62 Mn |
| Mar 31, 2026 | 18.02 Mn |
| Dec 31, 2025 | 16.56 Mn |
| Sep 30, 2025 | 15.37 Mn |
| Jun 30, 2025 | 12.40 Mn |
| Mar 31, 2025 | 11.40 Mn |
| Dec 31, 2024 | 10.50 Mn |
| Sep 30, 2024 | 8.90 Mn |
| Mar 31, 2024 | 7.36 Mn |
| Dec 31, 2023 | 6.60 Mn |
| Sep 30, 2023 | 7.08 Mn |
| Jun 30, 2023 | 6.24 Mn |
| Mar 31, 2023 | 5.43 Mn |
| Dec 31, 2022 | 4.66 Mn |
| Sep 30, 2022 | 4.19 Mn |
| Jun 30, 2022 | 3.47 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Dec 31, 2021 | 2.13 Mn |
| Dec 31, 2020 | 390,437.00 |
| Jun 30, 2020 | 20,000.00 |
Regenerative Medical Technology 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=RMTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RMTG", "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=RMTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();