SHUS stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | SHUS |
|---|---|
| History | 2021-06-16 to 2026-10-14 (about 5 years) |
| Bar sizes | 1-minute, 5-minute, 15-minute, 30-minute, hourly and daily |
| Adjustments | Unadjusted, split-adjusted or split-and-dividend-adjusted, chosen on read |
| Survivorship | Included in the survivorship-free universe |
| Free tier | Last 12 months of daily bars |
Price history at a glance
SHUS last closed at $50.89 on 2026-10-14, +10.9% over the past year and +25.0% over five years. Its deepest fall from a prior high in this history was -14.3%, reached on 2025-04-08.
| Last close | $50.89 (2026-10-14) |
|---|---|
| 1-year change | +10.9% |
| 5-year change | +25.0% |
| Annualized since 2021-06-16 | +4.6% |
| 52-week range | $44.55 – $50.89 |
| Deepest drawdown | -14.3% (2025-04-08) |
| Avg. daily dollar volume (3 months) | $379,263 |
| Daily bars in history | 1,108 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 129,882 ($6.6m reported value) |
| Quarter flows | 0 new, 3 added, 0 trimmed, 1 exited; +3,122 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("SHUS") on the look-back bundles. Top holders of SHUS · All 13F managers
Short interest (2026-10-15)
| Shares short | 3 (+200.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
SHUS short interest history · Unclassified (ETFs, funds, other) sector
SHUS FAQ
How far back does SHUS price history go?
2021-06-16 to 2026-10-14
Is SHUS still trading?
Yes. SHUS is listed and updated every trading day.
What was SHUS's last close?
$50.89 on 2026-10-14, +10.9% over one year
How do I download SHUS historical data in Python?
pip install finzdata, then yf.Ticker("SHUS").history(start="2021-06-16")
Get it in Python
import finzdata as yf
df = yf.Ticker("SHUS").history(start="2021-06-16", interval="1d")
m15 = yf.Ticker("SHUS").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()