Regenerative Medical Technology (RMTG) Operating Expenses (2018 - 2026)
Regenerative Medical Technology's Operating Expenses was $2.01 million in Q2 2026, up 140.7% from $835,919 a year earlier and up 30.9% from the prior quarter.
Regenerative Medical Technology (RMTG) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regenerative Medical Technology's Operating Expenses was $5.58 million through Jun 30, 2026, up 87.8% year-over-year; for FY2025, it came in at $3.68 million, up 34.1% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 51.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $2.74 million in FY2024 (+14.7%), $2.39 million in FY2023 (+16.0%), $2.06 million in FY2022 (-79.5%) and $10.07 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q3 2021.
- Compared with a year earlier, Operating Expenses has increased for 13 straight quarters, with growth averaging 52.3% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 428.3%); the worst was Q3 2022 (a decline of 95.3%).
- Per Business Quant data, RMTG's Operating Expenses in the three quarters before Q2 2026 was $1.54 million (Q1 2026), $1.09 million (Q4 2025) and $947,318 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,167.71 Bn | 1,136.29 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 647.75 Bn | 567.61 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.60 Bn | 476.71 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.10 Bn | 322.48 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 303.19 Bn | 267.18 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 268.04 Bn | 241.73 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 242.69 Bn | 198.09 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.89 Bn | 169.09 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.31 Bn | 119.95 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Regenerative Medical Technology | 549,558.71 | -3.98 Mn | 2.58 Mn | 2.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 947,318.00 |
| Jun 30, 2025 | 835,919.00 |
| Mar 31, 2025 | 808,934.00 |
| Dec 31, 2024 | 599,565.00 |
| Sep 30, 2024 | 727,413.00 |
| Jun 30, 2024 | 740,865.00 |
| Mar 31, 2024 | 674,096.00 |
| Dec 31, 2023 | 569,861.00 |
| Sep 30, 2023 | 525,356.00 |
| Jun 30, 2023 | 684,665.00 |
| Mar 31, 2023 | 611,012.00 |
| Dec 31, 2022 | 474,002.00 |
| Sep 30, 2022 | 426,578.00 |
| Jun 30, 2022 | 512,592.00 |
| Mar 31, 2022 | 648,654.00 |
| Dec 31, 2021 | 576,618.00 |
| Sep 30, 2021 | 9.09 Mn |
Regenerative Medical Technology Operating 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=operating-expenses&ticker=RMTG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RMTG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();