Franklin Financial Services (FRAF) Total Liabilities (2010 - 2026)
Franklin Financial Services' Total Liabilities was $2.15 billion in Q2 2026, up 1.0% from $2.13 billion a year earlier and up 1.5% from the prior quarter.
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Analysis
Franklin Financial Services (FRAF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Franklin Financial Services came in at $2.06 billion, up 0.5% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.05 billion in FY2024 (+20.5%), $1.7 billion in FY2023 (+7.5%), $1.59 billion in FY2022 (-1.9%) and $1.62 billion in FY2021 (+16.3%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 8.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 20.5%); the worst was Q2 2023 (a decline of 5.5%).
- Per Business Quant data, FRAF's Total Liabilities in the three quarters before Q2 2026 was $2.12 billion (Q1 2026), $2.06 billion (Q4 2025) and $2.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Franklin Financial Services | 281.98 Mn | -439.69 Mn | - | 2.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 2.12 Bn |
| Dec 31, 2025 | 2.06 Bn |
| Sep 30, 2025 | 2.13 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 2.11 Bn |
| Dec 31, 2024 | 2.05 Bn |
| Sep 30, 2024 | 2.00 Bn |
| Jun 30, 2024 | 1.90 Bn |
| Mar 31, 2024 | 1.88 Bn |
| Dec 31, 2023 | 1.70 Bn |
| Sep 30, 2023 | 1.71 Bn |
| Jun 30, 2023 | 1.62 Bn |
| Mar 31, 2023 | 1.59 Bn |
| Dec 31, 2022 | 1.59 Bn |
| Sep 30, 2022 | 1.74 Bn |
| Jun 30, 2022 | 1.71 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.62 Bn |
| Sep 30, 2021 | 1.58 Bn |
API Access
Franklin Financial Services 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=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "FRAF", "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=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();