APLS analyst price targets, scored
Every published price target on APLS in the AnaChart record, 2017-12-04 to 2026-04-02, with whether the stock reached it and how many calendar days that took.
Price targets
418
2017-12-04 to 2026-04-02
Scored
418
target and price both known
Reached
261
62.4% of scored, no time limit
Median days to hit
93
mean 183
Analysts
39
one identity per person
Ask for the APLS 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 APLS, by scored targets
| Analyst | Scored | Reached | Share | Mean days | Last action |
|---|---|---|---|---|---|
| Yigal Nochomovitz | 35 | 27 | 77.1% | 224 | 2026-04-01 |
| Douglas Tsao | 32 | 5 | 15.6% | 78 | 2026-04-01 |
| Anupam Rama | 32 | 17 | 53.1% | 320 | 2026-04-01 |
| Graig Suvannavejh | 26 | 19 | 73.1% | 127 | 2026-04-02 |
| Joseph Stringer | 24 | 17 | 70.8% | 184 | 2026-03-31 |
| Derek Archila | 23 | 19 | 82.6% | 96 | 2026-01-20 |
| Steven Seedhouse | 23 | 4 | 17.4% | 308 | 2026-03-18 |
| Colleen Kusy | 21 | 4 | 19.0% | 164 | 2025-10-31 |
| Laura Chico | 20 | 19 | 95.0% | 73 | 2026-02-25 |
| Annabel Samimy | 18 | 11 | 61.1% | 48 | 2025-12-19 |
| Madhu Kumar | 16 | 8 | 50.0% | 292 | 2023-05-14 |
| Tiago Fauth | 15 | 15 | 100.0% | 72 | 2023-05-05 |
| Tazeen Ahmad | 15 | 8 | 53.3% | 39 | 2026-01-21 |
| Eliana Merle | 14 | 7 | 50.0% | 237 | 2026-04-01 |
| Justin Kim | 13 | 8 | 61.5% | 322 | 2024-01-30 |
| Salveen Richter | 11 | 6 | 54.5% | 290 | 2025-09-26 |
| Phil Nadeau | 10 | 6 | 60.0% | 122 | 2025-10-31 |
| Elemer Piros | 10 | 10 | 100.0% | 419 | 2022-04-14 |
| Lisa Walter | 9 | 9 | 100.0% | 119 | 2026-02-25 |
| Matthew Luchini | 8 | 8 | 100.0% | 266 | 2021-09-10 |
| Luca Issi | 7 | 7 | 100.0% | 40 | 2025-05-08 |
| Brian Cheng | 7 | 7 | 100.0% | 72 | 2023-10-12 |
| Biren Amin | 6 | 5 | 83.3% | 174 | 2025-02-12 |
| Akash Tewari | 4 | 0 | 0.0% | 2024-08-08 | |
| Chris Howerton | 4 | 4 | 100.0% | 430 | 2024-01-18 |
| Judah Frommer | 3 | 3 | 100.0% | 95 | 2025-07-02 |
| Michael Ulz | 2 | 2 | 100.0% | 360 | 2021-09-13 |
| Harshita Polishetty | 1 | 1 | 100.0% | 365 | 2019-01-07 |
| Alethia Young | 1 | 1 | 100.0% | 549 | 2021-10-01 |
| Adam Walsh | 1 | 1 | 100.0% | 18 | 2026-03-13 |
| Akinori Ueda | 1 | 0 | 0.0% | 2023-05-04 | |
| Timur Ivannikov | 1 | 0 | 0.0% | 2022-03-01 | |
| George Hill | 1 | 0 | 0.0% | 2021-04-16 | |
| Brian Skorney | 1 | 1 | 100.0% | 542 | 2020-01-07 |
| Dae Gon HA | 1 | 1 | 100.0% | 63 | 2020-06-17 |
| Umer Raffat | 1 | 1 | 100.0% | 1085 | 2023-07-17 |
| Ryan Deschner | 1 | 0 | 0.0% | 2026-04-01 | |
| Andy Chen | 0 | 0 | 2025-11-06 | ||
| Lachlan Hanbury-brown | 0 | 0 | 2025-07-10 |
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. Targets are kept as printed and split-adjusted, with the ratio beside them. Rows are never restated.
Ask for the APLS 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.