Intercorp Financial Services (IFS) Operating Leases (2019 - 2026)
Intercorp Financial Services' Operating Leases came in at $132.52 million for the quarter ended Mar 31, 2026, down 9.1% from $145.72 million a year earlier and down 8.1% from the prior quarter.
Intercorp Financial Services (IFS) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Intercorp Financial Services' Operating Leases was $144.25 million, up 0.3% from the prior year.
- Operating Leases carries a five-year compound annual growth rate of -11.8% (years ended Dec 2020 to Dec 2025).
- Going back by year, Operating Leases was $143.8 million in the year ended Dec 31, 2024 and $234.95 million in the year ended Dec 31, 2021 (-12.9%).
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Operating Leases in data going back to the quarter ended Jun 30, 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Intercorp Financial Services | 6.06 Bn | 6.14 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 132.52 Mn |
| Dec 31, 2025 | 144.25 Mn |
| Mar 31, 2025 | 145.72 Mn |
| Dec 31, 2024 | 143.80 Mn |
| Dec 31, 2021 | 234.95 Mn |
| Dec 31, 2020 | 269.76 Mn |
| Mar 31, 2020 | 328.53 Mn |
| Dec 31, 2019 | 341.84 Mn |
| Sep 30, 2019 | 275.40 Mn |
| Jun 30, 2019 | 289.62 Mn |
Intercorp Financial Services Operating Leases 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=operating-leases&ticker=IFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=IFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();