Truist Financial (TFC) Total Liabilities (2009 - 2026)
Truist Financial's Total Liabilities came in at $491.93 billion for Q2 2026, up 2.7% from $478.99 billion a year earlier and up 1.5% from the prior quarter.
Truist Financial (TFC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Truist Financial's Total Liabilities was $482.35 billion, up 3.2% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $467.5 billion in FY2024 (-1.8%), $476.1 billion in FY2023 (-3.8%), $494.72 billion in FY2022 (+4.8%) and $471.97 billion in FY2021 (+7.7%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q1 2023.
- Year-over-year, Total Liabilities has increased for five consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 7.7%), and the weakest in Q2 2024 (a decline of 7.1%).
- Business Quant data shows TFC's Total Liabilities at $484.76 billion (Q1 2026), $482.35 billion (Q4 2025) and $478.21 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Truist Financial | 56.73 Bn | 56.73 Bn | - | 491.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 491.93 Bn |
| Mar 31, 2026 | 484.76 Bn |
| Dec 31, 2025 | 482.35 Bn |
| Sep 30, 2025 | 478.21 Bn |
| Jun 30, 2025 | 478.99 Bn |
| Mar 31, 2025 | 471.26 Bn |
| Dec 31, 2024 | 467.50 Bn |
| Sep 30, 2024 | 457.74 Bn |
| Jun 30, 2024 | 456.03 Bn |
| Mar 31, 2024 | 475.91 Bn |
| Dec 31, 2023 | 476.10 Bn |
| Sep 30, 2023 | 480.70 Bn |
| Jun 30, 2023 | 490.87 Bn |
| Mar 31, 2023 | 511.96 Bn |
| Dec 31, 2022 | 494.72 Bn |
| Sep 30, 2022 | 487.63 Bn |
| Jun 30, 2022 | 482.12 Bn |
| Mar 31, 2022 | 478.94 Bn |
| Dec 31, 2021 | 471.97 Bn |
| Sep 30, 2021 | 460.98 Bn |
Truist Financial Total Liabilities 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=total-liabilities&ticker=TFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "TFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=TFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();