Inter (INTR) Other Non-Current Liabilities (2019 - 2026)
Inter (INTR) posted Other Non-Current Liabilities of $485.49 million for Q2 2026, up 43.9% from $337.33 million a year earlier and up 6.5% from the prior quarter.
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Analysis
Inter (INTR) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Inter's Other Non-Current Liabilities came in at $487.66 million, up 9.7% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 39.2% (FY2020 to FY2025).
- In prior years, Inter's Other Non-Current Liabilities was $444.69 million in FY2024, -$380.21 million in FY2023, $227.73 million in FY2022 (+98.9%) and $114.5 million in FY2021 (+22.7%).
- Quarterly Other Non-Current Liabilities has run from a low of -$383.24 million in Q4 2023 to a high of $487.66 million in Q4 2025 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 18.0% over the last seven quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2022, with growth of 101.8%; the weakest was Q2 2025, with a decline of 11.5%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $456.07 million (Q1 2026), $487.66 million (Q4 2025) and $429.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Inter | 3.45 Bn | 3.47 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 485.49 Mn |
| Mar 31, 2026 | 456.07 Mn |
| Dec 31, 2025 | 487.66 Mn |
| Sep 30, 2025 | 429.91 Mn |
| Jun 30, 2025 | 337.33 Mn |
| Mar 31, 2025 | 374.66 Mn |
| Dec 31, 2024 | 410.03 Mn |
| Sep 30, 2024 | 324.15 Mn |
| Jun 30, 2024 | 381.14 Mn |
| Mar 31, 2024 | 395.86 Mn |
| Dec 31, 2023 | -383.24 Mn |
| Sep 30, 2023 | 258.27 Mn |
| Jun 30, 2023 | 198.86 Mn |
| Mar 31, 2023 | 232.18 Mn |
| Dec 31, 2022 | 223.07 Mn |
| Sep 30, 2022 | 133.40 Mn |
| Jun 30, 2022 | -134,087.67 |
| Mar 31, 2022 | 14.55 Mn |
| Dec 31, 2021 | 110.54 Mn |
| Dec 31, 2020 | 6.63 Mn |
API Access
Inter Other 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=other-non-current-liabilities&ticker=INTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "INTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=INTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();