Intellicheck (IDN) Total Non-Current Liabilities (2010 - 2018)
Intellicheck (IDN) posted Total Non-Current Liabilities of $1.53 million for Q4 2018, down 10.5% from $1.71 million a year earlier and down 10.6% from the prior quarter.
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Analysis
Intellicheck (IDN) Total Non-Current Liabilities (2010 - 2018) Analysis & Trends
Since Q4 2010, Intellicheck has reported Total Non-Current Liabilities for 29 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.4% (FY2013 to FY2018).
- In prior years, Intellicheck's Total Non-Current Liabilities was $1.71 million in FY2017 (+11.6%), $1.54 million in FY2016 (-24.9%), $2.05 million in FY2015 (-19.3%) and $2.54 million in FY2014 (+6.5%).
- The Q4 2018 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2017.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last four quarters, with an average decline of 1.8%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2018, with growth of 35.1%; the weakest was Q1 2017, with a decline of 43.3%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.72 million (Q3 2018), $1.65 million (Q2 2018) and $1.95 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 6.45 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 9.56 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 3.10 Bn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 5.20 Bn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 3.62 Bn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 770.18 Mn |
| 10 | Intellicheck | 41.50 Mn | 2.73 Mn | 5.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.53 Mn |
| Sep 30, 2018 | 1.72 Mn |
| Jun 30, 2018 | 1.65 Mn |
| Mar 31, 2018 | 1.95 Mn |
| Dec 31, 2017 | 1.71 Mn |
| Mar 31, 2017 | 1.44 Mn |
| Dec 31, 2016 | 1.54 Mn |
| Sep 30, 2016 | 1.91 Mn |
| Jun 30, 2016 | 2.25 Mn |
| Mar 31, 2016 | 2.54 Mn |
| Dec 31, 2015 | 2.05 Mn |
| Jun 30, 2015 | 2.80 Mn |
| Mar 31, 2015 | 2.55 Mn |
| Dec 31, 2014 | 2.54 Mn |
| Sep 30, 2014 | 3.45 Mn |
| Jun 30, 2014 | 2.09 Mn |
| Mar 31, 2014 | 2.02 Mn |
| Dec 31, 2013 | 2.38 Mn |
| Sep 30, 2013 | 2.99 Mn |
| Jun 30, 2013 | 3.03 Mn |
API Access
Intellicheck 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=IDN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IDN", "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=IDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();