Burzynski Research Institute Inc (BZYR) Accumulated Expenses (2011 - 2025)
Burzynski Research Institute (BZYR) reported Accumulated Expenses of $24,507 for fiscal Q3 2026 (quarter ended Nov 30, 2025), up 475.6% from $4,258 a year earlier but down 47.8% from the prior quarter.
Burzynski Research Institute Inc (BZYR) Accumulated Expenses (2011 - 2025) Analysis & Trends
At the end of FY2025 (ended Feb 28, 2025), Burzynski Research Institute posted Accumulated Expenses of $25,467, up 38.2% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of -25.6% (FY2020 to FY2025).
- By fiscal year, Accumulated Expenses came in at $18,423 in FY2024 (+496.0%), $3,091 in FY2023 (-10.5%), $3,455 in FY2022 (-75.8%) and $14,287 in FY2021 (-87.2%).
- Five-year quarterly Accumulated Expenses spans a low of $3,091 in fiscal Q4 2023 and a high of $58,260 in fiscal Q1 2025.
- Year over year, Accumulated Expenses gained in six of the last eight quarters, with growth averaging 164.8%.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q4 2024 (growth of 496.0%); the low point was fiscal Q2 2022 (a decline of 91.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $46,959 (Q2 2026), $45,555 (Q1 2026) and $25,467 (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 24,507.00 |
| Aug 31, 2025 | 46,959.00 |
| May 31, 2025 | 45,555.00 |
| Feb 28, 2025 | 25,467.00 |
| Nov 30, 2024 | 4,258.00 |
| Aug 31, 2024 | 11,947.00 |
| May 31, 2024 | 58,260.00 |
| Feb 29, 2024 | 18,423.00 |
| Nov 30, 2023 | 15,847.00 |
| Aug 31, 2023 | 6,273.00 |
| May 31, 2023 | 48,609.00 |
| Feb 28, 2023 | 3,091.00 |
| Nov 30, 2022 | 11,770.00 |
| Aug 31, 2022 | 13,369.00 |
| May 31, 2022 | 30,221.00 |
| Feb 28, 2022 | 3,455.00 |
| Aug 31, 2021 | 10,411.00 |
| May 31, 2021 | 32,801.00 |
| Feb 28, 2021 | 14,287.00 |
| Nov 30, 2020 | 109,570.00 |
Burzynski Research Institute Inc 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=BZYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BZYR", "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=BZYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();