BioRestorative Therapies (BRTX) Change in Accured Expenses (2010 - 2025)
BioRestorative Therapies (BRTX) recorded Change in Accured Expenses of $332,296 in Q4 2025, up 433.8% from $62,248 a year earlier and up 162.6% from the prior quarter.
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Analysis
BioRestorative Therapies (BRTX) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For FY2025, BioRestorative Therapies reported Change in Accured Expenses of $195,281, up 495.4% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -18.5% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $32,799 in FY2024 (-94.4%), $581,616 in FY2023, -$4,898 in FY2022 and $812,673 in FY2021 (+49.7%).
- The Q4 2025 figure is the highest quarterly Change in Accured Expenses since Q2 2020.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last six quarters, with growth averaging 67.9%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 955.1% in Q4 2023, against a decline of 94.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $126,545 (Q3 2025), $203,315 (Q2 2025) and -$466,875 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | BioRestorative Therapies | 976,386.42 | -22.96 Mn | 17,964.00 | 332,296.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 332,296.00 |
| Sep 30, 2025 | 126,545.00 |
| Jun 30, 2025 | 203,315.00 |
| Mar 31, 2025 | -466,875.00 |
| Dec 31, 2024 | 62,248.00 |
| Sep 30, 2024 | 234,615.00 |
| Jun 30, 2024 | 138,525.00 |
| Mar 31, 2024 | -402,589.00 |
| Dec 31, 2023 | 162,734.00 |
| Sep 30, 2023 | 162,629.00 |
| Jun 30, 2023 | 153,340.00 |
| Mar 31, 2023 | 102,913.00 |
| Dec 31, 2022 | 15,423.00 |
| Sep 30, 2022 | -10.00 |
| Jun 30, 2022 | -41,378.00 |
| Mar 31, 2022 | 21,067.00 |
| Dec 31, 2021 | 284,658.00 |
| Sep 30, 2021 | 199,841.00 |
| Jun 30, 2021 | 167,273.00 |
| Mar 31, 2021 | 160,901.00 |
API Access
BioRestorative Therapies Change in Accured 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=change-in-accured-expenses&ticker=BRTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();