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, how many calendar days that took, and how far above or below the close each target sat when published.
Analysts covering APLS, by scored targets
| Analyst | Scored | Reached | Share | Mean days | Median move | Last action |
|---|---|---|---|---|---|---|
| Yigal Nochomovitz | 35 | 27 | 77.1% | 224 | +65.3% | 2026-04-01 |
| Douglas Tsao | 32 | 5 | 15.6% | 78 | +105.3% | 2026-04-01 |
| Anupam Rama | 32 | 17 | 53.1% | 320 | +79.0% | 2026-04-01 |
| Graig Suvannavejh | 26 | 19 | 73.1% | 127 | +7.9% | 2026-04-02 |
| Joseph Stringer | 24 | 17 | 70.8% | 184 | +47.9% | 2026-03-31 |
| Derek Archila | 23 | 19 | 82.6% | 96 | +29.7% | 2026-01-20 |
| Steven Seedhouse | 23 | 4 | 17.4% | 308 | +118.9% | 2026-03-18 |
| Colleen Kusy | 21 | 4 | 19.0% | 164 | +119.2% | 2025-10-31 |
| Laura Chico | 20 | 19 | 95.0% | 73 | +5.5% | 2026-02-25 |
| Annabel Samimy | 18 | 11 | 61.1% | 48 | +59.9% | 2025-12-19 |
| Madhu Kumar | 16 | 8 | 50.0% | 292 | +99.4% | 2023-05-14 |
| Tiago Fauth | 15 | 15 | 100.0% | 72 | -8.7% | 2023-05-05 |
| Tazeen Ahmad | 15 | 8 | 53.3% | 39 | +31.1% | 2026-01-21 |
| Eliana Merle | 14 | 7 | 50.0% | 237 | +65.4% | 2026-04-01 |
| Justin Kim | 13 | 8 | 61.5% | 322 | +38.8% | 2024-01-30 |
| Salveen Richter | 11 | 6 | 54.5% | 290 | +24.9% | 2025-09-26 |
| Phil Nadeau | 10 | 6 | 60.0% | 122 | +59.9% | 2025-10-31 |
| Elemer Piros | 10 | 10 | 100.0% | 419 | +49.7% | 2022-04-14 |
| Lisa Walter | 9 | 9 | 100.0% | 119 | -2.0% | 2026-02-25 |
| Matthew Luchini | 8 | 8 | 100.0% | 266 | +62.6% | 2021-09-10 |
| Luca Issi | 7 | 7 | 100.0% | 40 | +1.1% | 2025-05-08 |
| Brian Cheng | 7 | 7 | 100.0% | 72 | +22.7% | 2023-10-12 |
| Biren Amin | 6 | 5 | 83.3% | 174 | +11.6% | 2025-02-12 |
| Akash Tewari | 4 | 0 | 0.0% | +109.8% | 2024-08-08 | |
| Chris Howerton | 4 | 4 | 100.0% | 430 | +67.4% | 2024-01-18 |
| Judah Frommer | 3 | 3 | 100.0% | 95 | +24.7% | 2025-07-02 |
| Michael Ulz | 2 | 2 | 100.0% | 360 | +95.5% | 2021-09-13 |
| Harshita Polishetty | 1 | 1 | 100.0% | 365 | +188.8% | 2019-01-07 |
| Alethia Young | 1 | 1 | 100.0% | 549 | +120.3% | 2021-10-01 |
| Adam Walsh | 1 | 1 | 100.0% | 18 | +63.7% | 2026-03-13 |
| Akinori Ueda | 1 | 0 | 0.0% | +67.1% | 2023-05-04 | |
| Timur Ivannikov | 1 | 0 | 0.0% | +154.8% | 2022-03-01 | |
| George Hill | 1 | 0 | 0.0% | +185.3% | 2021-04-16 | |
| Brian Skorney | 1 | 1 | 100.0% | 542 | +80.7% | 2020-01-07 |
| Dae Gon HA | 1 | 1 | 100.0% | 63 | -22.5% | 2020-06-17 |
| Umer Raffat | 1 | 1 | 100.0% | 1085 | +250.0% | 2023-07-17 |
| Ryan Deschner | 1 | 0 | 0.0% | +200.6% | 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. 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 APLS, reached or not. Targets are kept as printed and split-adjusted, with the ratio beside them. Rows are never restated.