Thomson Reuters (TRI) Long-Term Debt Issuances (2009 - 2020)
Thomson Reuters (TRI) recorded Long-Term Debt Issuances of $2.02 billion in FY2020.
Analysis
Thomson Reuters (TRI) Long-Term Debt Issuances (2009 - 2020) Analysis & Trends
Starting with FY2009, Thomson Reuters' Long-Term Debt Issuances history includes 9 years.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of 247.2% (FY2015 to FY2020).
- The FY2020 figure is the highest annual Long-Term Debt Issuances since FY2013.
- Per Business Quant data, TRI's Long-Term Debt Issuances was $1.37 billion in FY2018 and $498 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | - |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | - |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | - |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | -1.30 Bn |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 1.74 Bn |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | - |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | - |
| 10 | Strategy | 47.94 Bn | 40.93 Bn | 81.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 999.00 Mn |
| Mar 31, 2020 | 1.02 Bn |
| Mar 31, 2018 | 1.37 Bn |
| Jun 30, 2016 | 498.00 Mn |
| Sep 30, 2015 | 4.00 Mn |
| Dec 31, 2014 | 483.00 Mn |
| Sep 30, 2014 | 997.00 Mn |
| Dec 31, 2013 | 1.97 Bn |
| Jun 30, 2013 | 854.00 Mn |
| Mar 31, 2013 | 440.00 Mn |
| Sep 30, 2010 | 729.00 Mn |
| Jun 30, 2010 | 147.00 Mn |
| Mar 31, 2010 | 491.00 Mn |
| Sep 30, 2009 | 498.00 Mn |
| Mar 31, 2009 | 609.00 Mn |
API Access
Thomson Reuters Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=TRI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "TRI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=TRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();