Peoples Financial (PFBX) Long-Term Debt Repayments (2010 - 2026)
Peoples Financial's Long-Term Debt Repayments was $625.6 million in Q2 2026.
Peoples Financial (PFBX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Peoples Financial's Long-Term Debt Repayments was $1.2 billion through Jun 30, 2026; for FY2025, it was $583.67 million, down 32.1% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 56.6% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $859.15 million in FY2024 (+14.4%), $750.85 million in FY2023 (+32.0%), $568.64 million in FY2022 (+614.3%) and $79.6 million in FY2021 (+28.3%).
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments since Q4 2023.
- Compared with a year earlier, Long-Term Debt Repayments was higher in two of the last four quarters, with growth averaging 290.6%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2025 (growth of 841.5%); the worst was Q4 2024 (a decline of 98.2%).
- Per Business Quant data, PFBX's Long-Term Debt Repayments in the three quarters before Q2 2026 was $41.15 million (Q1 2026), $108.28 million (Q4 2025) and $425.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.74 Bn | 913.21 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 410.69 Bn | 530.63 Bn | - | - |
| 3 | Bank Of America | 379.32 Bn | -1,996.74 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 332.10 Bn | 332.15 Bn | - | - |
| 5 | Morgan Stanley | 298.98 Bn | -210.11 Bn | - | 26.48 Bn |
| 6 | Mitsubishi Ufj Financial | 272.72 Bn | -1,315.77 Bn | 10.89 Bn | - |
| 7 | Royal Bank Of Canada | 272.70 Bn | 123.45 Bn | - | -120.49 Mn |
| 8 | Goldman Sachs | 260.43 Bn | -3,296.69 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 246.67 Bn | 248.80 Bn | - | 12.00 Bn |
| 10 | Peoples Financial | 111.05 Mn | 111.05 Mn | - | 625.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 625.60 Mn |
| Mar 31, 2026 | 41.15 Mn |
| Dec 31, 2025 | 108.28 Mn |
| Sep 30, 2025 | 425.49 Mn |
| Dec 31, 2024 | 11.50 Mn |
| Sep 30, 2024 | 431.60 Mn |
| Jun 30, 2024 | 339.35 Mn |
| Mar 31, 2024 | 76.70 Mn |
| Dec 31, 2023 | 640.85 Mn |
| Sep 30, 2023 | 82.90 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | 25.60 Mn |
| Dec 31, 2022 | 364.25 Mn |
| Sep 30, 2022 | 197.36 Mn |
| Jun 30, 2022 | 7.01 Mn |
| Mar 31, 2022 | 15,000.00 |
| Dec 31, 2021 | 79.52 Mn |
| Sep 30, 2021 | 15,000.00 |
| Jun 30, 2021 | 14,000.00 |
| Mar 31, 2021 | 59,000.00 |
Peoples Financial Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=PFBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PFBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=PFBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();