CNY to EUR converter
A little clarity goes a long way.
Chinese Yuan · Amounts stay in this browser.
1 CNY = 0.13063 EUR
Published: 1 EUR = 7.6551 CNY ECB
ECB Reference rate for · published around 16:00 CET
Latest publication. Next expected Mon, Sep 28, around 16:00 CET.
Data details
Data retrieved:
Data retrieved from each official source, directly or via Frankfurter. Calculations and cross-rates by FXtab.
This time is the ECB’s stated schedule: it usually updates its rates at around 16:00 CET every working day, except on TARGET closing days. FXtab does not record the exact publication time.
Daily reference observations
Dates and times are the source’s own and are not converted to your time zone. If the source supplies only a date, no time is shown. These are reference observations, not live market quotes.
A quick reference
| CNY | EUR |
|---|---|
| CNY 1 | EUR 0.13 |
| CNY 5 | EUR 0.65 |
| CNY 10 | EUR 1.31 |
| CNY 20 | EUR 2.61 |
| CNY 50 | EUR 6.53 |
| CNY 100 | EUR 13.06 |
| CNY 500 | EUR 65.32 |
| CNY 1,000 | EUR 130.63 |
| EUR | CNY |
|---|---|
| EUR 1 | CNY 7.66 |
| EUR 5 | CNY 38.28 |
| EUR 10 | CNY 76.55 |
| EUR 20 | CNY 153.10 |
| EUR 50 | CNY 382.76 |
| EUR 100 | CNY 765.51 |
| EUR 500 | CNY 3,827.55 |
| EUR 1,000 | CNY 7,655.10 |
Preview fees
Fees are added to the amount you pay, in the source currency.
Total with fees: CNY 1,000.00
Percentage fees are calculated on the amount paid before fees.
Where the CNY to EUR rate comes from
- Publisher
- European Central Bank (ECB) ecb.europa.euOpens in a new tab
- What it publishes
- 1 EUR in CNY, every working day except TARGET closing days, usually around 16:00 CET, for information purposes only.
- This direction
- Calculated by FXtab FXtab calculates the CNY to EUR rate as 1 divided by the published EUR to CNY rate.
- Retrieved via
- Frankfurter, an open-source API that relays ECB data · retrieved September 26, 2026
CNY to EUR in the last 12 months
Sep 2025 to Aug 2026, completed months only. Calculated by FXtab
CNY to EUR by calendar year
View data table
| Year | Mean | Low | High | Observations |
|---|---|---|---|---|
| 2025 | 0.12334 | 0.11823 | 0.13423 | 255 |
| 2024 | 0.12843 | 0.12571 | 0.13252 | 256 |
| 2023 | 0.13066 | 0.12344 | 0.13880 | 255 |
| 2022 | 0.14135 | 0.13276 | 0.14811 | 257 |
| 2021 | 0.13120 | 0.12554 | 0.13966 | 258 |
| 2020 | 0.12705 | 0.12101 | 0.13238 | 257 |
| 2019 | 0.12930 | 0.12576 | 0.13335 | 255 |
| 2018 | 0.12812 | 0.12352 | 0.13482 | 255 |
| 2017 | 0.13119 | 0.12538 | 0.13834 | 255 |
| 2016 | 0.13604 | 0.13273 | 0.14271 | 257 |
CNY to EUR by month
The mean gives each observation equal weight. Only completed periods are shown.
View data table
| Month | Mean | Low | High | Observations |
|---|---|---|---|---|
| August 2026 | 0.12806 | 0.12719 | 0.12859 | 21 |
| July 2026 | 0.12925 | 0.12868 | 0.12992 | 23 |
| June 2026 | 0.12814 | 0.12683 | 0.12969 | 22 |
| May 2026 | 0.12603 | 0.12482 | 0.12696 | 20 |
| April 2026 | 0.12499 | 0.12425 | 0.12618 | 20 |
| March 2026 | 0.12547 | 0.12421 | 0.12635 | 22 |
| February 2026 | 0.12243 | 0.12153 | 0.12373 | 20 |
| January 2026 | 0.12225 | 0.12023 | 0.12351 | 21 |
| December 2025 | 0.12123 | 0.12058 | 0.12177 | 21 |
| November 2025 | 0.12173 | 0.12098 | 0.12220 | 20 |
| October 2025 | 0.12076 | 0.11950 | 0.12170 | 23 |
| September 2025 | 0.11964 | 0.11892 | 0.12024 | 22 |