TransUnion (TRU) Gross Margin (2012 - 2018)
TransUnion (TRU) reported Gross Margin of 64.51% for FY2019, down 1.39 percentage points from 65.90% in FY2018.
Analysis
TransUnion (TRU) Gross Margin (2012 - 2018) Analysis & Trends
Dating back to FY2012, TransUnion's Gross Margin record includes 8 years.
- Gross Margin has a five-year change of +2.85 percentage points (FY2014 to FY2019).
- The FY2019 figure ranks as the lowest annual Gross Margin since FY2014.
- According to Business Quant data, Gross Margin came in at 65.90% in FY2018 (-0.71 pp), 66.61% in FY2017 (+0.58 pp), 66.03% in FY2016 (+1.31 pp) and 64.72% in FY2015 (+3.06 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 71.90% |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 76.29% |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 82.71% |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 71.05% |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 54.49% |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 49.88% |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 63.92% |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 66.08% |
| Dec 31, 2017 | 65.74% |
| Sep 30, 2017 | 66.00% |
| Jun 30, 2017 | 68.01% |
| Mar 31, 2017 | 66.77% |
| Dec 31, 2016 | 66.80% |
| Sep 30, 2016 | 67.66% |
| Jun 30, 2016 | 66.22% |
| Mar 31, 2016 | 63.25% |
| Dec 31, 2015 | 63.90% |
| Sep 30, 2015 | 65.28% |
| Jun 30, 2015 | 65.26% |
| Mar 31, 2015 | 64.43% |
| Dec 31, 2014 | 63.89% |
| Sep 30, 2014 | 63.04% |
| Jun 30, 2014 | 59.42% |
| Mar 31, 2014 | 60.15% |
| Dec 31, 2013 | 59.30% |
| Sep 30, 2013 | 61.30% |
| Jun 30, 2013 | 59.67% |
API Access
TransUnion Gross Margin 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=gross-margin&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "ticker": "TRU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gross-margin&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();