Integrated Biopharma (INBP) Cost of Revenue (2010 - 2026)
Integrated Biopharma's Cost of Revenue came in at $9.77 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 23.1% from $12.71 million a year earlier and down 5.9% from the prior quarter.
Integrated Biopharma (INBP) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Integrated Biopharma's Cost of Revenue was $43.07 million, down 11.7% from FY2025.
- Cost of Revenue carries a five-year compound annual growth rate of -4.4% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $48.79 million in FY2025 (+5.1%), $46.43 million in FY2024 (-0.4%), $46.61 million in FY2023 (-6.2%) and $49.69 million in FY2022 (-8.1%).
- The fiscal Q4 2026 figure represents the lowest quarterly Cost of Revenue since fiscal Q1 2019.
- Year-over-year, Cost of Revenue has declined for four consecutive quarters, with an average decline of 3.2% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q4 2025 (growth of 10.9%), and the weakest in fiscal Q4 2026 (a decline of 23.1%).
- Business Quant data shows INBP's Cost of Revenue at $10.38 million (Q3 2026), $11.25 million (Q2 2026) and $11.67 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 11.68 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 2.14 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 902.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.57 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 2.69 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 852.70 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 1.14 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 150.59 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 708.00 Mn |
| 10 | Integrated Biopharma | 5.28 Mn | -13.45 Mn | -112,000.00 | 10.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.03 Mn |
| Jun 30, 2026 | 9.77 Mn |
| Mar 31, 2026 | 10.38 Mn |
| Dec 31, 2025 | 11.25 Mn |
| Sep 30, 2025 | 11.67 Mn |
| Jun 30, 2025 | 12.71 Mn |
| Mar 31, 2025 | 12.40 Mn |
| Dec 31, 2024 | 11.44 Mn |
| Sep 30, 2024 | 12.25 Mn |
| Jun 30, 2024 | 11.46 Mn |
| Mar 31, 2024 | 11.90 Mn |
| Dec 31, 2023 | 10.99 Mn |
| Sep 30, 2023 | 12.08 Mn |
| Jun 30, 2023 | 12.01 Mn |
| Mar 31, 2023 | 12.09 Mn |
| Dec 31, 2022 | 11.18 Mn |
| Sep 30, 2022 | 11.33 Mn |
| Jun 30, 2022 | 11.87 Mn |
| Mar 31, 2022 | 13.65 Mn |
| Dec 31, 2021 | 12.84 Mn |
Integrated Biopharma Cost of Revenue 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=cost-of-revenue&ticker=INBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=INBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();