BioRestorative Therapies (BRTX) Cash & Equivalents (2010 - 2025)
BioRestorative Therapies (BRTX) posted Cash & Equivalents of $1.51 million for Q4 2025, up 175.8% from $547,890 a year earlier and up 150.8% from the prior quarter.
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Analysis
BioRestorative Therapies (BRTX) Cash & Equivalents (2010 - 2025) Analysis & Trends
Since Q2 2010, BioRestorative Therapies has reported Cash & Equivalents for 52 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- In prior years, BioRestorative Therapies' Cash & Equivalents was $547,890 in FY2024 (-38.0%), $884,377 in FY2023 (-48.4%), $1.71 million in FY2022 (-91.8%) and $21.03 million in FY2021 (+586.1%).
- Quarterly Cash & Equivalents has run from a low of $547,890 in Q4 2024 to a high of $21.03 million in Q4 2021 over five years.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2022, with growth of 919.5%; the weakest was Q4 2022, with a decline of 91.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $602,444 (Q3 2025), $1.56 million (Q2 2025) and $1.23 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | BioRestorative Therapies | 976,386.42 | -22.96 Mn | 17,964.00 | 1.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.51 Mn |
| Sep 30, 2025 | 602,444.00 |
| Jun 30, 2025 | 1.56 Mn |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 547,890.00 |
| Sep 30, 2024 | 1.49 Mn |
| Jun 30, 2024 | 2.25 Mn |
| Mar 31, 2024 | 1.16 Mn |
| Dec 31, 2023 | 884,377.00 |
| Sep 30, 2023 | 2.44 Mn |
| Jun 30, 2023 | 1.78 Mn |
| Mar 31, 2023 | 1.84 Mn |
| Dec 31, 2022 | 1.71 Mn |
| Sep 30, 2022 | 6.57 Mn |
| Jun 30, 2022 | 17.93 Mn |
| Mar 31, 2022 | 19.32 Mn |
| Dec 31, 2021 | 21.03 Mn |
| Sep 30, 2021 | 1.13 Mn |
| Jun 30, 2021 | 1.76 Mn |
| Mar 31, 2021 | 2.50 Mn |
API Access
BioRestorative Therapies Cash & Equivalents 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=cash-and-equivalents&ticker=BRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();