Nu Holdings (NU) Trading Liabilities (2020 - 2026)
Nu Holdings' Trading Liabilities was $116.07 million in Q2 2026, down 6.8% from $124.5 million a year earlier and down 68.7% from the prior quarter.
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Analysis
Nu Holdings (NU) Trading Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Trading Liabilities at Nu Holdings came in at $65.97 million, up 104.1% from FY2024.
- Trading Liabilities shows a five-year compound annual growth rate of -6.2% (FY2020 to FY2025).
- In earlier years, Trading Liabilities was $32.33 million in FY2024 (-86.7%), $242.7 million in FY2023 (+11.2%), $218.17 million in FY2022 (+113.1%) and $102.38 million in FY2021 (+12.8%).
- Quarterly Trading Liabilities has moved between $32.33 million (Q4 2024) and $660.43 million (Q1 2024) over five years.
- Compared with a year earlier, Trading Liabilities was higher in two of the last eight quarters, with growth averaging 2.5%.
- The best year-over-year quarter for Trading Liabilities over five years was Q1 2024 (growth of 319.5%); the worst was Q4 2024 (a decline of 86.7%).
- Per Business Quant data, NU's Trading Liabilities in the three quarters before Q2 2026 was $370.87 million (Q1 2026), $65.97 million (Q4 2025) and $293.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Trading Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 297.91 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 10,587.31 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 109.81 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 78.41 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 262.97 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 330.24 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 56.13 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 225.74 Bn |
| 10 | Nu Holdings | 58.38 Bn | 2.37 Bn | 2.35 Bn | 116.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.07 Mn |
| Mar 31, 2026 | 370.87 Mn |
| Dec 31, 2025 | 65.97 Mn |
| Sep 30, 2025 | 293.35 Mn |
| Jun 30, 2025 | 124.50 Mn |
| Mar 31, 2025 | 585.52 Mn |
| Dec 31, 2024 | 32.33 Mn |
| Sep 30, 2024 | 624.47 Mn |
| Jun 30, 2024 | 639.48 Mn |
| Mar 31, 2024 | 660.43 Mn |
| Dec 31, 2023 | 242.70 Mn |
| Sep 30, 2023 | 214.76 Mn |
| Jun 30, 2023 | 190.40 Mn |
| Mar 31, 2023 | 157.44 Mn |
| Dec 31, 2022 | 218.17 Mn |
| Sep 30, 2022 | 69.21 Mn |
| Jun 30, 2022 | 121.98 Mn |
| Mar 31, 2022 | 200.51 Mn |
| Dec 31, 2021 | 102.38 Mn |
| Mar 31, 2021 | 102.38 Mn |
API Access
Nu Holdings Trading 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=trading-liabilities&ticker=NU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "trading-liabilities", "ticker": "NU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=trading-liabilities&ticker=NU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();