TransUnion (TRU) Accounts Payables (2013 - 2026)
TransUnion's Accounts Payables came in at $404.9 million for Q2 2026, up 17.3% from $345.1 million a year earlier and up 6.8% from the prior quarter.
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Analysis
TransUnion (TRU) Accounts Payables (2013 - 2026) Analysis & Trends
At the end of FY2025, TransUnion's Accounts Payables was $349.9 million, up 18.8% from FY2024.
- Accounts 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, Accounts 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 Q2 2026 figure represents the highest quarterly Accounts Payables in data going back to Q4 2013.
- Year-over-year, Accounts Payables has increased for eight consecutive quarters, with growth averaging 15.9% over the last eight quarters.
- The fastest year-over-year change in Accounts 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 Accounts Payables at $379.1 million (Q1 2026), $349.9 million (Q4 2025) and $361.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 611.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 17.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 254.30 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 126.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 404.90 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 163.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 91.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 1.13 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 68.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 227.70 Mn |
API Access
TransUnion Accounts 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=accounts-payables&ticker=TRU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=TRU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();