Integrated Biopharma (INBP) Total Liabilities (2011 - 2026)
Integrated Biopharma (INBP) posted Total Liabilities of $7.67 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 67.3% from $4.58 million a year earlier but down 0.2% from the prior quarter.
Integrated Biopharma (INBP) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Integrated Biopharma has reported Total Liabilities for 59 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- In prior fiscal years, Integrated Biopharma's Total Liabilities was $4.58 million in FY2025 (-34.2%), $6.97 million in FY2024 (-5.1%), $7.35 million in FY2023 (+10.1%) and $6.68 million in FY2022 (-39.9%).
- Quarterly Total Liabilities has run from a low of $3.78 million in fiscal Q2 2026 to a high of $26.86 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with growth averaging 22.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2025, with growth of 258.4%; the weakest was fiscal Q2 2026, with a decline of 85.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $7.69 million (Q3 2026), $3.78 million (Q2 2026) and $5.05 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.78 Bn |
| 10 | Integrated Biopharma | 5.28 Mn | -13.45 Mn | -112,000.00 | 7.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.01 Mn |
| Jun 30, 2026 | 7.67 Mn |
| Mar 31, 2026 | 7.69 Mn |
| Dec 31, 2025 | 3.78 Mn |
| Sep 30, 2025 | 5.05 Mn |
| Jun 30, 2025 | 4.58 Mn |
| Mar 31, 2025 | 5.27 Mn |
| Dec 31, 2024 | 25.64 Mn |
| Sep 30, 2024 | 7.63 Mn |
| Jun 30, 2024 | 6.97 Mn |
| Mar 31, 2024 | 8.03 Mn |
| Dec 31, 2023 | 7.16 Mn |
| Sep 30, 2023 | 7.76 Mn |
| Jun 30, 2023 | 7.35 Mn |
| Mar 31, 2023 | 26.86 Mn |
| Dec 31, 2022 | 7.40 Mn |
| Sep 30, 2022 | 7.74 Mn |
| Jun 30, 2022 | 6.68 Mn |
| Mar 31, 2022 | 10.72 Mn |
| Dec 31, 2021 | 11.00 Mn |
Integrated Biopharma Total Liabilities 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=total-liabilities&ticker=INBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();