Intercorp Financial Services (IFS) Total Non-Current Liabilities (2018 - 2026)
Intercorp Financial Services (IFS) recorded Total Non-Current Liabilities of $92.23 billion in the quarter ended Jun 30, 2026, up 7.3% from $85.98 billion a year earlier.
Intercorp Financial Services (IFS) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Intercorp Financial Services reported Total Non-Current Liabilities of $86.47 billion, up 3.7% from the prior year.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 2.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Total Non-Current Liabilities came in at $83.4 billion in the year ended Dec 31, 2024, $77.28 billion in the year ended Dec 31, 2022 (-0.1%) and $77.35 billion in the year ended Dec 31, 2021 (+0.3%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Total Non-Current Liabilities in data going back to the quarter ended Jun 30, 2018.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 8.5% in the quarter ended Mar 31, 2024, against a decline of 5.9% in the quarter ended Mar 31, 2022 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Intercorp Financial Services | 6.06 Bn | 6.14 Bn | - | 92.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.23 Bn |
| Dec 31, 2025 | 86.47 Bn |
| Sep 30, 2025 | 80.43 Bn |
| Jun 30, 2025 | 85.98 Bn |
| Dec 31, 2024 | 83.40 Bn |
| Mar 31, 2024 | 81.88 Bn |
| Sep 30, 2023 | 81.19 Bn |
| Jun 30, 2023 | 75.78 Bn |
| Mar 31, 2023 | 75.44 Bn |
| Dec 31, 2022 | 77.28 Bn |
| Sep 30, 2022 | 76.52 Bn |
| Jun 30, 2022 | 74.19 Bn |
| Mar 31, 2022 | 73.59 Bn |
| Dec 31, 2021 | 77.35 Bn |
| Sep 30, 2021 | 79.43 Bn |
| Jun 30, 2021 | 78.34 Bn |
| Mar 31, 2021 | 78.19 Bn |
| Dec 31, 2020 | 77.12 Bn |
| Sep 30, 2020 | 75.36 Bn |
| Jun 30, 2020 | 71.44 Bn |
Intercorp Financial Services Total Non-Current 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-non-current-liabilities&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IFS", "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-non-current-liabilities&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();