BMP AI Technologies, Inc. (BMPA) Non Operating Interest Expenses (2023 - 2026)
BMP AI Technologies' Non Operating Interest Expenses was $7,858 in Q2 2026, up 19.3% from $6,587 a year earlier and up 29.3% from the prior quarter.
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BMP AI Technologies, Inc. (BMPA) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, BMP AI Technologies' Non Operating Interest Expenses was $28,674 through Jun 30, 2026, up 34.5% year-over-year; for FY2025, it was $26,287, up 52.4% from FY2024.
- In earlier years, Non Operating Interest Expenses was $17,248 in FY2024 (+86.0%) and $9,273 in FY2023.
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q3 2023.
- Compared with a year earlier, Non Operating Interest Expenses has increased for eight straight quarters, with growth averaging 54.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Non Operating Interest Expenses ran from 19.3% in Q2 2026 to 111.3% in Q3 2024.
- Per Business Quant data, BMPA's Non Operating Interest Expenses in the three quarters before Q2 2026 was $6,075 (Q1 2026), $7,562 (Q4 2025) and $7,179 (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,858.00 |
| Mar 31, 2026 | 6,075.00 |
| Dec 31, 2025 | 7,562.00 |
| Sep 30, 2025 | 7,179.00 |
| Jun 30, 2025 | 6,587.00 |
| Mar 31, 2025 | 4,959.00 |
| Dec 31, 2024 | 4,824.00 |
| Sep 30, 2024 | 4,948.00 |
| Jun 30, 2024 | 3,932.00 |
| Mar 31, 2024 | 3,544.00 |
| Dec 31, 2023 | 2,806.00 |
| Sep 30, 2023 | 2,342.00 |
API Access
BMP AI Technologies, Inc. Non Operating Interest 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=non-operating-interest-expenses&ticker=BMPA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "BMPA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=BMPA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();