Nu Holdings (NU) Exchange Rate Effect (2019 - 2026)
Nu Holdings' Exchange Rate Effect was $31.45 million in Q2 2026, down 53.3% from $67.35 million a year earlier and down 89.0% from the prior quarter.
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Analysis
Nu Holdings (NU) Exchange Rate Effect (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Nu Holdings' Exchange Rate Effect was $356.24 million through Jun 30, 2026, down 63.1% year-over-year; for FY2025, it was $369.52 million, down 20.7% from FY2024.
- In earlier years, Exchange Rate Effect was $466.14 million in FY2024 (+96.9%), $236.72 million in FY2023 (+28.5%), $184.18 million in FY2022 (+76.4%) and $104.43 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$168.59 million (Q2 2024) and $538.37 million (Q3 2024) over five years.
- Compared with a year earlier, Exchange Rate Effect was higher in 1 of the last five quarters, with an average decline of 27.6%.
- The best year-over-year quarter for Exchange Rate Effect over five years was Q1 2024 (growth of 537.2%); the worst was Q4 2022 (a decline of 56.6%).
- Per Business Quant data, NU's Exchange Rate Effect in the three quarters before Q2 2026 was $286.14 million (Q1 2026), $57.18 million (Q4 2025) and -$18.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 940.00 Mn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 309.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 723.66 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 655.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Nu Holdings | 58.38 Bn | 2.37 Bn | 2.35 Bn | 31.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.45 Mn |
| Mar 31, 2026 | 286.14 Mn |
| Dec 31, 2025 | 57.18 Mn |
| Sep 30, 2025 | -18.52 Mn |
| Jun 30, 2025 | 67.35 Mn |
| Mar 31, 2025 | 263.51 Mn |
| Dec 31, 2024 | 96.36 Mn |
| Sep 30, 2024 | 538.37 Mn |
| Jun 30, 2024 | -168.59 Mn |
| Mar 31, 2024 | 449.40 Mn |
| Dec 31, 2023 | 108.84 Mn |
| Sep 30, 2023 | -6.82 Mn |
| Jun 30, 2023 | 148.72 Mn |
| Mar 31, 2023 | 70.53 Mn |
| Dec 31, 2022 | 173.61 Mn |
| Sep 30, 2022 | 41.82 Mn |
| Jun 30, 2022 | -67.92 Mn |
| Mar 31, 2022 | -2.78 Mn |
| Dec 31, 2021 | 400.13 Mn |
| Sep 30, 2021 | 47.42 Mn |
API Access
Nu Holdings Exchange Rate Effect 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=exchange-rate-effect&ticker=NU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();