Integrated Biopharma (INBP) Inventory (2011 - 2026)
Integrated Biopharma (INBP) posted Inventory of $9.14 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.3% from $9.36 million a year earlier but up 12.6% from the prior quarter.
Integrated Biopharma (INBP) Inventory (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Integrated Biopharma has reported Inventory for 59 quarters.
- Annual Inventory shows a five-year compound annual growth rate of -4.8% (FY2021 to FY2026).
- In prior fiscal years, Integrated Biopharma's Inventory was $9.36 million in FY2025 (-16.7%), $11.24 million in FY2024 (+9.6%), $10.26 million in FY2023 (-7.2%) and $11.06 million in FY2022 (-5.5%).
- Quarterly Inventory has run from a low of $8.12 million in fiscal Q3 2026 to a high of $13.12 million in fiscal Q2 2022 over five years.
- On a year-over-year basis, Inventory has declined in each of the last seven quarters, with an average decline of 10.2% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q2 2024, with growth of 18.4%; the weakest was fiscal Q2 2026, with a decline of 24.4%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $8.12 million (Q3 2026), $8.36 million (Q2 2026) and $10.47 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 8.17 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 2.18 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.00 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 1.72 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 1.54 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 601.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 777.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 246.81 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 718.00 Mn |
| 10 | Integrated Biopharma | 5.59 Mn | -14.75 Mn | 28,000.00 | 9.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.14 Mn |
| Mar 31, 2026 | 8.12 Mn |
| Dec 31, 2025 | 8.36 Mn |
| Sep 30, 2025 | 10.47 Mn |
| Jun 30, 2025 | 9.36 Mn |
| Mar 31, 2025 | 10.08 Mn |
| Dec 31, 2024 | 11.07 Mn |
| Sep 30, 2024 | 11.22 Mn |
| Jun 30, 2024 | 11.24 Mn |
| Mar 31, 2024 | 11.17 Mn |
| Dec 31, 2023 | 12.15 Mn |
| Sep 30, 2023 | 10.51 Mn |
| Jun 30, 2023 | 10.26 Mn |
| Mar 31, 2023 | 9.94 Mn |
| Dec 31, 2022 | 10.26 Mn |
| Sep 30, 2022 | 11.67 Mn |
| Jun 30, 2022 | 11.06 Mn |
| Mar 31, 2022 | 13.10 Mn |
| Dec 31, 2021 | 13.12 Mn |
| Sep 30, 2021 | 12.62 Mn |
Integrated Biopharma Inventory 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=inventory&ticker=INBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=INBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();