Integrated Biopharma (INBP) Total Non-Current Liabilities (2011 - 2018)
Integrated Biopharma (INBP) posted Total Non-Current Liabilities of $20.3 million for fiscal Q4 2018 (quarter ended Mar 31, 2018).
Analysis
Integrated Biopharma (INBP) Total Non-Current Liabilities (2011 - 2018) Analysis & Trends
Since fiscal Q4 2011, Integrated Biopharma has reported Total Non-Current Liabilities for 24 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -1.8% (FY2013 to FY2018).
- In prior fiscal years, Integrated Biopharma's Total Non-Current Liabilities was $20.62 million in FY2017 (-7.1%), $22.2 million in FY2016 (+6.1%), $20.93 million in FY2015 (-0.4%) and $21.02 million in FY2014 (-5.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $18.86 million in fiscal Q1 2018 to a high of $23.33 million in fiscal Q2 2016 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last five quarters, with an average decline of 4.9%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2015, with growth of 10.3%; the weakest was fiscal Q1 2018, with a decline of 13.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 67.30 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 14.17 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 9.73 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 15.61 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 16.06 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 4.43 Bn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 7.14 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 1.24 Bn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 2.66 Bn |
| 10 | Integrated Biopharma | 5.59 Mn | -14.75 Mn | 28,000.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 20.30 Mn |
| Dec 31, 2017 | 21.66 Mn |
| Sep 30, 2017 | 18.86 Mn |
| Jun 30, 2017 | 20.62 Mn |
| Mar 31, 2017 | 20.38 Mn |
| Dec 31, 2016 | 21.92 Mn |
| Sep 30, 2016 | 21.88 Mn |
| Jun 30, 2016 | 22.20 Mn |
| Mar 31, 2016 | 23.05 Mn |
| Dec 31, 2015 | 23.33 Mn |
| Sep 30, 2015 | 21.13 Mn |
| Jun 30, 2015 | 20.93 Mn |
| Mar 31, 2015 | 21.71 Mn |
| Dec 31, 2014 | 22.81 Mn |
| Sep 30, 2014 | 22.39 Mn |
| Jun 30, 2014 | 21.02 Mn |
| Mar 31, 2014 | 19.69 Mn |
| Dec 31, 2013 | 20.67 Mn |
| Sep 30, 2013 | 21.79 Mn |
| Jun 30, 2013 | 22.21 Mn |
API Access
Integrated Biopharma Total Non-Current 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-non-current-liabilities&ticker=INBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=INBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();