Bgm (BGM) Accumulated Expenses (2019 - 2026)
Bgm's Accumulated Expenses came in at $23.14 million for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 209.1% from $7.49 million a year earlier.
Analysis
Bgm (BGM) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Bgm's Accumulated Expenses was $27.38 million.
- Accumulated Expenses carries a five-year compound annual growth rate of 83.9% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $915,032 in FY2024 (-24.1%), $1.21 million in FY2023 (+71.9%), $701,263 in FY2022 (+50.2%) and $466,838 in FY2021 (-64.1%).
- The five-year range for quarterly Accumulated Expenses is $466,838 (fiscal Q4 2021) to $27.38 million (fiscal Q4 2025).
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2025 (growth of 523.1%), and the weakest in fiscal Q4 2021 (a decline of 64.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Bgm | 28.32 Mn | -4,800.01 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 23.14 Mn |
| Sep 30, 2025 | 27.38 Mn |
| Mar 31, 2025 | 7.49 Mn |
| Sep 30, 2024 | 915,032.00 |
| Mar 31, 2024 | 1.20 Mn |
| Sep 30, 2023 | 1.21 Mn |
| Mar 31, 2023 | 733,493.00 |
| Sep 30, 2022 | 701,263.00 |
| Mar 31, 2022 | 479,734.00 |
| Sep 30, 2021 | 466,838.00 |
| Sep 30, 2020 | 1.30 Mn |
| Sep 30, 2019 | 531,713.00 |
API Access
Bgm 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=BGM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=BGM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();