Bgm (BGM) Other Accumulated Expenses (2019 - 2026)
Bgm's Other Accumulated Expenses came in at $401,378 for fiscal Q2 2026 (quarter ended Mar 31, 2026), down 66.8% from $1.21 million a year earlier.
Bgm (BGM) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Bgm's Other Accumulated Expenses was $340,623, down 92.7% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $4.68 million in FY2024, $69,805 in FY2023 (+192.6%), $23,859 in FY2022 (-57.3%) and $55,847 in FY2021 (-91.3%).
- The five-year range for quarterly Other Accumulated Expenses is $23,859 (fiscal Q4 2022) to $4.68 million (fiscal Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Bgm | 35.00 Mn | -4,800.00 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 401,378.00 |
| Sep 30, 2025 | 340,623.00 |
| Mar 31, 2025 | 1.21 Mn |
| Sep 30, 2024 | 4.68 Mn |
| Sep 30, 2023 | 69,805.00 |
| Mar 31, 2023 | 25,401.00 |
| Sep 30, 2022 | 23,859.00 |
| Mar 31, 2022 | 44,724.00 |
| Sep 30, 2021 | 55,847.00 |
| Sep 30, 2020 | 644,244.00 |
| Sep 30, 2019 | 45,571.00 |
Bgm Other 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=other-accumulated-expenses&ticker=BGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "BGM", "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-accumulated-expenses&ticker=BGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();