TransUnion (TRU) Non Operating Interest Expenses (2010 - 2026)
TransUnion's Non Operating Interest Expenses was $66.5 million in Q3 2026, up 6.4% from $62.5 million a year earlier and up 0.9% from the prior quarter.
TransUnion (TRU) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, TransUnion's Non Operating Interest Expenses was $255.9 million through Sep 30, 2026, up 8.3% year-over-year; for FY2025, it came in at $235.8 million, down 11.1% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $265.2 million in FY2024 (-8.0%), $288.2 million in FY2023 (+24.8%), $230.9 million in FY2022 (+105.1%) and $112.6 million in FY2021 (-10.8%).
- The Q3 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q3 2024.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with an average decline of 2.6% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2022 (growth of 138.5%); the worst was Q1 2025 (a decline of 18.3%).
- Per Business Quant data, TRU's Non Operating Interest Expenses in the three quarters before Q3 2026 was $65.9 million (Q2 2026), $62 million (Q1 2026) and $61.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.31 Bn | 126.16 Bn | 2.64 Bn | 87.00 Mn |
| 2 | Moodys | 87.21 Bn | 80.13 Bn | 1.50 Bn | - |
| 3 | Msci | 46.37 Bn | 44.85 Bn | 739.80 Mn | 74.80 Mn |
| 4 | Verisk Analytics | 26.47 Bn | 21.11 Bn | 572.90 Mn | 52.80 Mn |
| 5 | Equifax | 22.25 Bn | 21.52 Bn | 940.10 Mn | 62.30 Mn |
| 6 | TransUnion | 15.62 Bn | 12.32 Bn | - | 66.50 Mn |
| 7 | Factset Research Systems | 11.87 Bn | 10.72 Bn | 308.40 Mn | 14.40 Mn |
| 8 | Morningstar | 9.09 Bn | 6.98 Bn | 431.40 Mn | - |
| 9 | Mastercard | 577.45 Bn | 537.54 Bn | - | 250.00 Mn |
| 10 | Cme | 108.51 Bn | 96.85 Bn | - | 43.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.50 Mn |
| Jun 30, 2026 | 65.90 Mn |
| Mar 31, 2026 | 62.00 Mn |
| Dec 31, 2025 | 61.50 Mn |
| Sep 30, 2025 | 62.50 Mn |
| Jun 30, 2025 | 55.70 Mn |
| Mar 31, 2025 | 56.10 Mn |
| Dec 31, 2024 | 62.00 Mn |
| Sep 30, 2024 | 66.60 Mn |
| Jun 30, 2024 | 67.90 Mn |
| Mar 31, 2024 | 68.70 Mn |
| Dec 31, 2023 | 71.00 Mn |
| Sep 30, 2023 | 72.70 Mn |
| Jun 30, 2023 | 72.60 Mn |
| Mar 31, 2023 | 71.80 Mn |
| Dec 31, 2022 | 67.50 Mn |
| Sep 30, 2022 | 61.30 Mn |
| Jun 30, 2022 | 51.90 Mn |
| Mar 31, 2022 | 50.20 Mn |
| Dec 31, 2021 | 35.50 Mn |
TransUnion Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();