Basanite, Inc. (BASA) Accumulated Expenses (2011 - 2025)
Basanite (BASA) reported Accumulated Expenses of $2.82 million for Q3 2025, up 51.8% from $1.86 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Basanite, Inc. (BASA) Accumulated Expenses (2011 - 2025) Analysis & Trends
At the end of FY2024, Basanite posted Accumulated Expenses of $1.82 million, up 50.4% from FY2023.
- Accumulated Expenses has increased for four consecutive years, with a four-year compound annual growth rate of 74.2% (FY2020 to FY2024).
- By year, Accumulated Expenses came in at $1.21 million in FY2023 (+175.1%), $438,870 in FY2022 (+7.7%), $407,454 in FY2021 (+106.5%) and $197,350 in FY2020.
- The Q3 2025 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q2 2011.
- Year over year, Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 100.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2022 (growth of 550.6%); the low point was Q2 2023 (a decline of 16.4%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $2.65 million (Q2 2025), $2.56 million (Q1 2025) and $1.82 million (Q4 2024).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.82 Mn |
| Jun 30, 2025 | 2.65 Mn |
| Mar 31, 2025 | 2.56 Mn |
| Dec 31, 2024 | 1.82 Mn |
| Sep 30, 2024 | 1.86 Mn |
| Jun 30, 2024 | 1.61 Mn |
| Mar 31, 2024 | 1.29 Mn |
| Dec 31, 2023 | 1.21 Mn |
| Sep 30, 2023 | 878,066.00 |
| Jun 30, 2023 | 744,461.00 |
| Mar 31, 2023 | 556,563.00 |
| Dec 31, 2022 | 438,870.00 |
| Sep 30, 2022 | 457,811.00 |
| Jun 30, 2022 | 890,932.00 |
| Mar 31, 2022 | 573,197.00 |
| Dec 31, 2021 | 407,454.00 |
| Sep 30, 2021 | 210,413.00 |
| Jun 30, 2021 | 136,950.00 |
| Dec 31, 2020 | 197,350.00 |
| Dec 31, 2014 | 607,431.00 |
API Access
Basanite, 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=BASA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BASA", "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=BASA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();