TransUnion (TRU) Gross Margin (2010 - 2018)
TransUnion (TRU) reported Gross Margin of 64.51% for FY2019, down 1.39 percentage points from 65.90% in FY2018.
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Analysis
TransUnion (TRU) Gross Margin (2010 - 2018) Analysis & Trends
Dating back to FY2009, TransUnion's Gross Margin record includes 11 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 | 136.14 Bn | 125.99 Bn | 2.64 Bn | 71.89% |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 74.10% |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 82.94% |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 71.05% |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 55.55% |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | - |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 48.59% |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 64.19% |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | - |
| 10 | Cme | 109.34 Bn | 97.67 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_KEYimport 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();