BABA analyst price targets, scored
Every published price target on BABA in the AnaChart record, 2014-07-16 to 2026-04-14, with whether the stock reached it, how many calendar days that took, and how far above or below the close each target sat when published.
Price targets
882
2014-07-16 to 2026-04-14
Scored
880
target and price both known
Reached
710
80.7% of scored, no time limit
Median days to hit
211
mean 364
Median implied move
+27.9%
target against the close on the day it was published
Analysts
92
one identity per person
Ask for the BABA file or a question about it, first one free The $29 file covers S&P 500 and Nasdaq-100 names; other tickers are quoted to the job.
Analysts covering BABA, by scored targets
| Analyst | Scored | Reached | Share | Mean days | Median move | Last action |
|---|---|---|---|---|---|---|
| Colin Sebastian | 61 | 56 | 91.8% | 266 | +14.4% | 2026-03-20 |
| Youssef Squali | 58 | 48 | 82.8% | 343 | +24.8% | 2024-08-16 |
| Fawne Jiang | 53 | 37 | 69.8% | 373 | +38.0% | 2025-11-26 |
| Rob Sanderson | 39 | 35 | 89.7% | 490 | +42.7% | 2024-08-29 |
| James Lee | 34 | 25 | 73.5% | 332 | +28.6% | 2025-05-16 |
| Alex Yao | 32 | 25 | 78.1% | 475 | +36.0% | 2026-03-20 |
| Shyam Patil | 32 | 26 | 81.2% | 494 | +48.1% | 2026-03-26 |
| Scott Devitt | 27 | 24 | 88.9% | 423 | +23.6% | 2022-02-25 |
| Aaron Kessler | 27 | 17 | 63.0% | 408 | +45.6% | 2022-01-20 |
| Hans Chung | 27 | 19 | 70.4% | 317 | +27.0% | 2021-10-02 |
| Piyush Mubayi | 26 | 15 | 57.7% | 241 | +34.0% | 2022-01-18 |
| Mark Mahaney | 24 | 23 | 95.8% | 282 | +21.4% | 2020-11-06 |
| Gary YU | 24 | 22 | 91.7% | 265 | +34.8% | 2025-09-01 |
| Jason Helfstein | 22 | 16 | 72.7% | 218 | +22.8% | 2026-03-20 |
| Jiong Shao | 21 | 16 | 76.2% | 410 | +49.2% | 2026-04-14 |
| Eddie Leung | 21 | 14 | 66.7% | 431 | +33.4% | 2025-10-02 |
| Alan Hellawell | 20 | 20 | 100.0% | 197 | +19.6% | 2017-09-07 |
| Elinor Leung | 19 | 6 | 31.6% | 478 | +31.8% | 2025-10-02 |
| Alicia Yap | 19 | 16 | 84.2% | 252 | +42.8% | 2025-11-26 |
| Thomas Chong | 18 | 11 | 61.1% | 197 | +42.5% | 2026-03-19 |
| Jialong Shi | 17 | 17 | 100.0% | 345 | +23.4% | 2022-01-09 |
| Joyce JU | 17 | 16 | 94.1% | 242 | +37.0% | 2025-09-24 |
| Gregory Zhao | 13 | 10 | 76.9% | 253 | +20.2% | 2020-11-09 |
| Robin Zhu | 12 | 7 | 58.3% | 582 | +21.9% | 2025-11-26 |
| Ken Sena | 12 | 12 | 100.0% | 584 | +24.6% | 2018-07-11 |
| Grace Chen | 10 | 10 | 100.0% | 281 | +24.8% | 2019-12-02 |
| Kerry Rice | 10 | 10 | 100.0% | 165 | +18.4% | 2017-11-03 |
| Doug Anmuth | 10 | 10 | 100.0% | 366 | +27.6% | 2022-07-05 |
| Han Kim | 9 | 6 | 66.7% | 323 | +18.6% | 2021-04-08 |
| Charlene Liu | 9 | 9 | 100.0% | 728 | +48.3% | 2024-10-03 |
| Ella JI | 8 | 4 | 50.0% | 785 | +25.9% | 2021-09-28 |
| Ellie Jiang | 7 | 5 | 71.4% | 355 | +30.3% | 2025-09-27 |
| Kenneth Fong | 7 | 4 | 57.1% | 895 | +40.6% | 2024-02-08 |
| Henry Guo | 7 | 7 | 100.0% | 272 | +20.5% | 2015-10-27 |
| Jerry Liu | 7 | 4 | 57.1% | 994 | +37.9% | 2022-12-01 |
| Gil Luria | 7 | 7 | 100.0% | 299 | +3.2% | 2017-01-25 |
| Dick Wei | 6 | 6 | 100.0% | 407 | +21.1% | 2016-05-06 |
| Manuel Muehl | 6 | 6 | 100.0% | 184 | +17.3% | 2024-05-16 |
| Ronald Keung | 6 | 6 | 100.0% | 556 | +52.0% | 2025-01-21 |
| Tina Long | 6 | 3 | 50.0% | 894 | +63.5% | 2022-05-27 |
| Vincent YU | 6 | 3 | 50.0% | 466 | +25.3% | 2022-01-14 |
| Tian Hou | 6 | 6 | 100.0% | 119 | +20.7% | 2020-01-07 |
| Carson LO | 5 | 2 | 40.0% | 948 | +32.3% | 2023-05-19 |
| BO Pei | 5 | 5 | 100.0% | 203 | +30.5% | 2025-09-25 |
| Naved Khan | 5 | 5 | 100.0% | 102 | +11.8% | 2016-11-04 |
| Robert Peck | 5 | 5 | 100.0% | 329 | +22.1% | 2016-10-12 |
| Wendy Huang | 3 | 3 | 100.0% | 588 | +36.4% | 2018-08-24 |
| Karen Chan | 3 | 3 | 100.0% | 631 | +29.1% | 2018-09-10 |
| Jessie Guo | 3 | 3 | 100.0% | 598 | +15.0% | 2017-06-12 |
| Sophie Huang | 3 | 2 | 66.7% | 719 | +29.9% | 2022-01-10 |
| Robert Lin | 3 | 3 | 100.0% | 417 | +71.2% | 2016-06-28 |
| John Choi | 3 | 3 | 100.0% | 815 | +38.3% | 2021-12-22 |
| Angela Moh | 3 | 3 | 100.0% | 579 | +8.6% | 2015-01-21 |
| Chi Tsang | 3 | 3 | 100.0% | 53 | +11.4% | 2017-10-13 |
| Cheng Cheng | 2 | 2 | 100.0% | 206 | +25.0% | 2015-09-09 |
| Bhavtosh Vajpayee | 2 | 2 | 100.0% | 408 | +24.0% | 2018-02-05 |
| Binnie Wong | 2 | 1 | 50.0% | 224 | +24.1% | 2021-02-03 |
| Brian Nowak | 2 | 2 | 100.0% | 23 | +18.5% | 2014-11-04 |
| David Dai | 2 | 2 | 100.0% | 176 | +23.8% | 2020-06-16 |
| Eddy Wang | 2 | 2 | 100.0% | 43 | -16.1% | 2023-12-01 |
| James Cordwell | 2 | 2 | 100.0% | 616 | +10.2% | 2021-12-22 |
| Vitus Leung | 2 | 0 | 0.0% | +28.1% | 2021-07-13 | |
| Victor Anthony | 2 | 2 | 100.0% | 469 | +17.0% | 2014-11-05 |
| Vivian Hao | 2 | 2 | 100.0% | 328 | +17.4% | 2016-03-28 |
| Anna Glaessgen | 1 | 1 | 100.0% | 143 | +40.6% | 2019-08-05 |
| Chao Wang | 1 | 1 | 100.0% | 15 | +22.1% | 2014-10-29 |
| Cynthia Meng | 1 | 1 | 100.0% | 14 | +20.7% | 2014-10-27 |
| Evan Zhou | 1 | 1 | 100.0% | 771 | +35.7% | 2015-03-09 |
| Zachary Schwartzman | 1 | 1 | 100.0% | 99 | +20.0% | 2019-09-10 |
| Yong Wang | 1 | 1 | 100.0% | 357 | +40.8% | 2015-08-21 |
| Jed Kelly | 1 | 1 | 100.0% | 81 | +6.5% | 2017-11-06 |
| Leo Chiang | 1 | 1 | 100.0% | 1135 | +76.1% | 2023-01-13 |
| Neil Doshi | 1 | 1 | 100.0% | 1 | +39.7% | 2014-09-18 |
| Manuel Muhl | 1 | 1 | 100.0% | 553 | +25.4% | 2023-08-11 |
| Richard Kramer | 1 | 1 | 100.0% | 13 | -8.4% | 2021-07-13 |
| Lei Yang | 1 | 1 | 100.0% | 1303 | +62.6% | 2022-03-01 |
| Rodney Hull | 1 | 1 | 100.0% | 114 | +20.1% | 2017-01-25 |
| Ross Sandler | 1 | 1 | 100.0% | 66 | +22.4% | 2020-06-19 |
| Christopher Lui | 0 | 0 | 2023-12-04 | |||
| Andrew Tsai | 0 | 0 | ||||
| Jack Atkins | 0 | 0 | ||||
| Gene Munster | 0 | 0 | 2014-07-16 | |||
| Hans Engel | 0 | 0 | 2025-10-03 | |||
| John Wang | 0 | 0 | 2023-12-04 | |||
| Junhao Fan | 0 | 0 | 2021-04-09 | |||
| Jim Kelleher | 0 | 0 | 2021-12-01 | |||
| John Freeman | 0 | 0 | ||||
| Roman Lukianchikov | 0 | 0 | 2026-01-06 | |||
| Ronnie Moas | 0 | 0 | 2017-04-20 | |||
| Stephan Lingnau | 0 | 0 | 2021-08-20 | |||
| Toni Sacconaghi | 0 | 0 | ||||
| Yang Huang | 0 | 0 | 2021-11-26 |
How the scoring works
Direction is the target against the raw close on the day it was published. A target is reached when the stock trades through it in that direction on any later day, with no time limit, tested against the raw daily high or low. Days to hit are calendar days to the first such day. Implied move is the nominal target against that same close, in percent, signed, so a target below the close shows as negative; the file carries it on every scored row and the median above is over all scored targets on BABA, reached or not. Targets are kept as printed and split-adjusted, with the ratio beside them. Rows are never restated.
Ask for the BABA file or a question about it, first one free The $29 file covers S&P 500 and Nasdaq-100 names; other tickers are quoted to the job.