BioRestorative Therapies (BRTX) Other Operating Expenses (2010 - 2021)
BioRestorative Therapies (BRTX) posted Other Operating Expenses of $1.92 million for Q1 2026, down 27.4% from $2.64 million a year earlier and down 26.9% from the prior quarter.
BioRestorative Therapies (BRTX) Other Operating Expenses (2010 - 2021) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Other Operating Expenses at BioRestorative Therapies was $9.35 million, up 29.3% year-over-year; for FY2025, it was $10.07 million, up 50.8% from FY2024.
- Annual Other Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 57.4% (FY2020 to FY2025).
- In prior years, BioRestorative Therapies' Other Operating Expenses was $6.68 million in FY2024 (+65.5%), $4.03 million in FY2023 (+14.8%), $3.51 million in FY2022 (+381.9%) and $729,058 in FY2021 (-30.1%).
- The Q1 2026 figure stands as the lowest quarterly Other Operating Expenses since Q4 2024.
- On a year-over-year basis, Other Operating Expenses increased in seven of the last eight quarters, with growth averaging 63.0%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q2 2022, with growth of 537.1%; the weakest was Q2 2021, with a decline of 44.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.63 million (Q4 2025), $2.58 million (Q3 2025) and $2.22 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | BioRestorative Therapies | 1.36 Mn | -17.06 Mn | 15,785.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 7,868.00 |
| Mar 31, 2021 | 10,989.00 |
| Dec 31, 2020 | 4.72 Mn |
| Sep 30, 2020 | 217,131.00 |
| Jun 30, 2020 | -3.32 Mn |
| Mar 31, 2020 | -2.52 Mn |
| Dec 31, 2019 | 445,516.00 |
| Sep 30, 2019 | 530,154.00 |
| Jun 30, 2019 | 642,722.00 |
| Mar 31, 2019 | 615,571.00 |
| Dec 31, 2018 | 740,833.00 |
| Sep 30, 2018 | 572,762.00 |
| Jun 30, 2018 | 435,485.00 |
| Mar 31, 2018 | 473,953.00 |
| Dec 31, 2017 | 491,195.00 |
| Sep 30, 2017 | 530,905.00 |
| Jun 30, 2017 | 884,362.00 |
| Mar 31, 2017 | 493,205.00 |
| Dec 31, 2016 | 363,511.00 |
| Sep 30, 2016 | 453,349.00 |
BioRestorative Therapies Other 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=other-operating-expenses&ticker=BRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "BRTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();