YQ vs CDLX
Comparison between 17 Education & Technology Group Inc (YQ, Company) and Cardlytics Inc (CDLX, Company).
YQ is from the Consumer Defensive sector, while CDLX is from the Communication Services sector.
5-Year PerformanceYQ has outperformed CDLX, delivering a return of -51.9% compared to -65.6%
YQ vs CDLX - Performance Comparison
Key Characteristics
Financial metrics and valuation ratios
YQ vs CDLX - Historical Returns
Returns include dividend reinvestment.
YQ vs CDLX - Annual Returns (2018 - 2026)
Returns include dividend reinvestment.
| Year | YQ | CDLX |
|---|---|---|
| 2026 | -31.09% | -51.70% |
| 2025 | +128.03% | -69.17% |
| 2024 | -18.95% | -58.31% |
| 2023 | -79.30% | +70.87% |
| 2022 | +58.14% | -91.58% |
| 2021 | -97.60% | -51.29% |
| 2020 | +21.19% | +129.94% |
| 2019 | N/A | +478.82% |
| 2018 | N/A | -19.00% |
YQ vs CDLX Drawdown Comparison
The maximum drawdown for YQ was -99.64%, occurring on Apr 11, 2025. This drawdown has not yet recovered.
The maximum drawdown for CDLX was -99.70%, occurring on Jun 9, 2026. This drawdown has not yet recovered.
The current YQ drawdown is -99.42%. The current CDLX drawdown is -99.66%.
| Rank | YQ | CDLX |
|---|---|---|
| #1 | -99.64% Dec 9, 2020 - Apr 11, 2025 | -99.70% Feb 12, 2021 - Jun 9, 2026 |
| #2 | N/A | -71.37% Feb 19, 2020 - Nov 10, 2020 |
| #3 | N/A | -62.39% Sep 17, 2018 - Jul 1, 2019 |
| #4 | N/A | -28.75% Feb 23, 2018 - May 8, 2018 |
| #5 | N/A | -28.43% Jun 18, 2018 - Sep 12, 2018 |
| #6 | N/A | -21.58% Jan 8, 2021 - Feb 8, 2021 |
| #7 | N/A | -13.81% Sep 6, 2019 - Oct 16, 2019 |
| #8 | N/A | -10.87% Dec 4, 2019 - Dec 26, 2019 |
| #9 | N/A | -8.73% Jul 2, 2019 - Aug 8, 2019 |
| #10 | N/A | -7.72% Nov 20, 2019 - Dec 3, 2019 |
| #11 | N/A | -7.58% Dec 21, 2020 - Jan 8, 2021 |
| #12 | N/A | -7.39% May 9, 2018 - May 29, 2018 |
| #13 | N/A | -6.60% Dec 1, 2020 - Dec 8, 2020 |
| #14 | N/A | -5.99% Nov 14, 2019 - Nov 19, 2019 |
| #15 | N/A | -5.94% Feb 20, 2018 - Feb 23, 2018 |
Correlation
Correlation between YQ and CDLX is 0.75 which considered as a strong positive correlation - the stocks tend to move together.
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