TransUnion (TRU) Payables (2010 - 2026)
TransUnion's Payables came in at $409.2 million for Q3 2026, up 13.1% from $361.9 million a year earlier and up 1.1% from the prior quarter.
Analysis
TransUnion (TRU) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Payables was $349.9 million, up 18.8% from FY2024.
- Payables has increased in each of the last three years, with a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- Going back by year, Payables was $294.6 million in FY2024 (+17.2%), $251.3 million in FY2023 (+0.4%), $250.4 million in FY2022 (-7.3%) and $270.2 million in FY2021 (+43.4%).
- The Q3 2026 figure represents the highest quarterly Payables in data going back to Q4 2010.
- Year-over-year, Payables has increased for nine consecutive quarters, with growth averaging 15.3% over the last eight quarters.
- The fastest year-over-year change in Payables over five years came in Q4 2021 (growth of 43.4%), and the weakest in Q4 2022 (a decline of 7.3%).
- Business Quant data shows TRU's Payables at $404.9 million (Q2 2026), $379.1 million (Q1 2026) and $349.9 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 507.00 Mn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 1.22 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 5.90 Mn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 115.30 Mn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 409.20 Mn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 177.01 Mn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 119.90 Mn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 1.08 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 67.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 409.20 Mn |
| Jun 30, 2026 | 404.90 Mn |
| Mar 31, 2026 | 379.10 Mn |
| Dec 31, 2025 | 349.90 Mn |
| Sep 30, 2025 | 361.90 Mn |
| Jun 30, 2025 | 345.10 Mn |
| Mar 31, 2025 | 325.60 Mn |
| Dec 31, 2024 | 294.60 Mn |
| Sep 30, 2024 | 319.40 Mn |
| Jun 30, 2024 | 312.60 Mn |
| Mar 31, 2024 | 281.30 Mn |
| Dec 31, 2023 | 251.30 Mn |
| Sep 30, 2023 | 270.70 Mn |
| Jun 30, 2023 | 320.60 Mn |
| Mar 31, 2023 | 298.40 Mn |
| Dec 31, 2022 | 250.40 Mn |
| Sep 30, 2022 | 257.30 Mn |
| Jun 30, 2022 | 281.00 Mn |
| Mar 31, 2022 | 260.30 Mn |
| Dec 31, 2021 | 270.20 Mn |
API Access
TransUnion Payables 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=payables&ticker=TRU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();