TransUnion (TRU) EBITDA (2010 - 2026)
TransUnion's EBITDA was $431.2 million in Q3 2026, up 22.1% from $353.2 million a year earlier and up 3.0% from the prior quarter.
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Analysis
TransUnion (TRU) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, TransUnion's EBITDA was $1.6 billion through Sep 30, 2026, up 15.0% year-over-year; for FY2025, it came in at $1.43 billion, up 18.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.2 billion in FY2024 (+84.5%), $652.9 million in FY2023 (-43.0%), $1.15 billion in FY2022 (+11.3%) and $1.03 billion in FY2021 (+21.5%).
- The Q3 2026 figure marks the highest quarterly EBITDA in data going back to Q2 2010.
- Compared with a year earlier, EBITDA has increased for eight straight quarters, with growth averaging 22.9% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2024 (growth of 58.3%); the worst was Q4 2023 (a decline of 28.8%).
- Per Business Quant data, TRU's EBITDA in the three quarters before Q3 2026 was $418.5 million (Q2 2026), $397.1 million (Q1 2026) and $351.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.31 Bn | 126.16 Bn | 2.64 Bn | 2.18 Bn |
| 2 | Moodys | 87.21 Bn | 80.13 Bn | 1.50 Bn | 1.03 Bn |
| 3 | Msci | 46.37 Bn | 44.85 Bn | 739.80 Mn | 555.70 Mn |
| 4 | Verisk Analytics | 26.47 Bn | 21.11 Bn | 572.90 Mn | 445.40 Mn |
| 5 | Equifax | 22.25 Bn | 21.52 Bn | 940.10 Mn | 551.70 Mn |
| 6 | TransUnion | 15.62 Bn | 12.32 Bn | - | 431.20 Mn |
| 7 | Factset Research Systems | 11.87 Bn | 10.72 Bn | 308.40 Mn | 203.75 Mn |
| 8 | Morningstar | 9.09 Bn | 6.98 Bn | 431.40 Mn | 220.50 Mn |
| 9 | Mastercard | 577.45 Bn | 537.54 Bn | - | 6.91 Bn |
| 10 | Cme | 108.51 Bn | 96.85 Bn | - | 1.22 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 431.20 Mn |
| Jun 30, 2026 | 418.50 Mn |
| Mar 31, 2026 | 397.10 Mn |
| Dec 31, 2025 | 351.20 Mn |
| Sep 30, 2025 | 353.20 Mn |
| Jun 30, 2025 | 334.90 Mn |
| Mar 31, 2025 | 393.30 Mn |
| Dec 31, 2024 | 308.10 Mn |
| Sep 30, 2024 | 290.00 Mn |
| Jun 30, 2024 | 315.30 Mn |
| Mar 31, 2024 | 291.20 Mn |
| Dec 31, 2023 | 194.60 Mn |
| Sep 30, 2023 | -105.00 Mn |
| Jun 30, 2023 | 288.50 Mn |
| Mar 31, 2023 | 274.90 Mn |
| Dec 31, 2022 | 273.50 Mn |
| Sep 30, 2022 | 299.10 Mn |
| Jun 30, 2022 | 309.50 Mn |
| Mar 31, 2022 | 263.20 Mn |
| Dec 31, 2021 | 217.40 Mn |
API Access
TransUnion EBITDA 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=ebitda&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();