TransUnion (TRU) Cash from Discontinued Operations (2018 - 2023)
TransUnion's Cash from Discontinued Operations came in at -$200,000 for FY2023, compared with -$3.8 million in FY2022.
Analysis
TransUnion (TRU) Cash from Discontinued Operations (2018 - 2023) Analysis & Trends
Going back to FY2018, TransUnion's Cash from Discontinued Operations data covers 6 years.
- The five-year range for annual Cash from Discontinued Operations is -$3.8 million (FY2022) to $71.3 million (FY2020).
- Per Business Quant, earlier years put Cash from Discontinued Operations at -$3.8 million in FY2022, $48.9 million in FY2021 (-31.4%), $71.3 million in FY2020 (+8.0%) and $66 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Discont. Ops (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | - |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | - |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | - |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | - |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -200,000.00 |
| Dec 31, 2022 | -8.40 Mn |
| Sep 30, 2022 | 4.40 Mn |
| Jun 30, 2022 | 600,000.00 |
| Mar 31, 2022 | -400,000.00 |
| Dec 31, 2021 | -8.10 Mn |
| Sep 30, 2021 | 24.20 Mn |
| Jun 30, 2021 | 15.70 Mn |
| Mar 31, 2021 | 17.10 Mn |
| Dec 31, 2020 | 71.30 Mn |
| Dec 31, 2019 | 73.30 Mn |
| Jun 30, 2019 | -4.90 Mn |
| Mar 31, 2019 | -2.40 Mn |
| Dec 31, 2018 | -2.80 Mn |
| Sep 30, 2018 | -900,000.00 |
API Access
TransUnion Cash from Discontinued Operations 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=cash-from-discontinued-operations&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-discontinued-operations", "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=cash-from-discontinued-operations&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();