TransUnion (TRU) Shares Outstanding (Entity) (2012 - 2026)
TransUnion (TRU) reported Shares Outstanding (Entity) of 191.6 million for Q2 2026, down 1.6% from 194.8 million a year earlier and down 0.6% from the prior quarter.
TransUnion (TRU) Shares Outstanding (Entity) (2012 - 2026) Analysis & Trends
For FY2025, TransUnion posted Shares Outstanding (Entity) of 192.4 million, down 1.3% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 194.9 million in FY2024 (+0.6%), 193.8 million in FY2023 (+0.6%), 192.7 million in FY2022 (+0.5%) and 191.8 million in FY2021 (+0.7%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 191.6 million in Q3 2021 and a high of 195.1 million in Q1 2025.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last four quarters, with an average decline of 0.3% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q3 2021 (growth of 0.7%); the low point was Q2 2026 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 192.8 million (Q1 2026), 192.4 million (Q4 2025) and 194.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 294.80 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 173.20 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 72.70 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 130.14 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 117.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 191.60 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 35.78 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 37.51 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 870.70 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 359.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.60 Mn |
| Mar 31, 2026 | 192.80 Mn |
| Dec 31, 2025 | 192.40 Mn |
| Sep 30, 2025 | 194.20 Mn |
| Jun 30, 2025 | 194.80 Mn |
| Mar 31, 2025 | 195.10 Mn |
| Dec 31, 2024 | 194.90 Mn |
| Sep 30, 2024 | 194.90 Mn |
| Jun 30, 2024 | 194.30 Mn |
| Mar 31, 2024 | 194.20 Mn |
| Dec 31, 2023 | 193.80 Mn |
| Sep 30, 2023 | 193.70 Mn |
| Jun 30, 2023 | 193.30 Mn |
| Mar 31, 2023 | 193.20 Mn |
| Dec 31, 2022 | 192.70 Mn |
| Sep 30, 2022 | 192.70 Mn |
| Jun 30, 2022 | 192.50 Mn |
| Mar 31, 2022 | 192.40 Mn |
| Dec 31, 2021 | 191.80 Mn |
| Sep 30, 2021 | 191.60 Mn |
TransUnion Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();