Totaligent (TGNT) Receivables - Net (2012 - 2017)
Totaligent's Receivables - Net came in at $45,322 for Q3 2022, down 11.6% from the prior quarter.
Analysis
Totaligent (TGNT) Receivables - Net (2012 - 2017) Analysis & Trends
At the end of FY2016, Totaligent's Receivables - Net was $17,516, down 99.9% from FY2015.
- Receivables - Net carries a four-year compound annual growth rate of -84.0% (FY2012 to FY2016).
- Going back by year, Receivables - Net was $27.63 million in FY2015, $25.57 million in FY2014 (-0.2%), $25.62 million in FY2013 (-3.6%) and $26.58 million in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Totaligent | 1.73 Mn | 1.72 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 45,322.00 |
| Jun 30, 2017 | 51,250.00 |
| Dec 31, 2016 | 17,516.00 |
| Mar 31, 2016 | 26.24 Mn |
| Dec 31, 2015 | 27.63 Mn |
| Sep 30, 2015 | 24.93 Mn |
| Jun 30, 2015 | 20.23 Mn |
| Mar 31, 2015 | 19.12 Mn |
| Dec 31, 2014 | 19.78 Mn |
| Sep 30, 2014 | 21.80 Mn |
| Jun 30, 2014 | 25.57 Mn |
| Mar 31, 2014 | 19.16 Mn |
| Dec 31, 2013 | 26.77 Mn |
| Sep 30, 2013 | 28.19 Mn |
| Jun 30, 2013 | 25.62 Mn |
| Jun 30, 2012 | 26.58 Mn |
API Access
Totaligent Receivables - Net 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=receivables-net&ticker=TGNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "TGNT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=TGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();