Integrated Biopharma (INBP) Non Operating Interest Expenses (2010 - 2026)
Integrated Biopharma (INBP) posted Non Operating Interest Expenses of -$39,000 for fiscal Q3 2026 (quarter ended Mar 31, 2026), compared with -$5,000 a year earlier.
Integrated Biopharma (INBP) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Non Operating Interest Expenses at Integrated Biopharma was -$36,000; for FY2025 (ended Jun 30, 2025), it was $46,000, down 11.5% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -35.0% (FY2020 to FY2025).
- In prior fiscal years, Integrated Biopharma's Non Operating Interest Expenses was $52,000 in FY2024 (unchanged), $52,000 in FY2023 (-59.4%), $128,000 in FY2022 (-50.0%) and $256,000 in FY2021 (-35.5%).
- Quarterly Non Operating Interest Expenses has run from a low of -$40,000 in fiscal Q2 2026 to a high of $76,000 in fiscal Q4 2025 over five years.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q4 2024, with growth of 61.1%; the weakest was fiscal Q2 2023, with a decline of 81.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was -$40,000 (Q2 2026), -$33,000 (Q1 2026) and $76,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 81.00 Mn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Integrated Biopharma | 5.59 Mn | -14.75 Mn | 28,000.00 | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -39,000.00 |
| Dec 31, 2025 | -40,000.00 |
| Sep 30, 2025 | -33,000.00 |
| Jun 30, 2025 | 76,000.00 |
| Mar 31, 2025 | -5,000.00 |
| Dec 31, 2024 | -11,000.00 |
| Sep 30, 2024 | -14,000.00 |
| Jun 30, 2024 | 58,000.00 |
| Mar 31, 2024 | 4,000.00 |
| Dec 31, 2023 | -2,000.00 |
| Sep 30, 2023 | -8,000.00 |
| Jun 30, 2023 | 36,000.00 |
| Mar 31, 2023 | -2,000.00 |
| Dec 31, 2022 | 8,000.00 |
| Sep 30, 2022 | 10,000.00 |
| Jun 30, 2022 | 24,000.00 |
| Mar 31, 2022 | 30,000.00 |
| Dec 31, 2021 | 42,000.00 |
| Sep 30, 2021 | 32,000.00 |
| Jun 30, 2021 | 43,000.00 |
Integrated Biopharma 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=INBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "INBP", "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=INBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();