SHPP stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | SHPP |
|---|---|
| History | 2023-04-27 to 2026-10-28 (about 3 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
SHPP last closed at $34.43 on 2026-10-28, +19.1% over the past year. Its deepest fall from a prior high in this history was -19.2%, reached on 2025-04-08.
| Last close | $34.43 (2026-10-28) |
|---|---|
| 1-year change | +19.1% |
| Annualized since 2023-04-27 | +9.3% |
| 52-week range | $27.44 – $35.90 |
| Deepest drawdown | -19.2% (2025-04-08) |
| Avg. daily dollar volume (3 months) | $16,452 |
| Daily bars in history | 486 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 3 |
|---|---|
| Shares held | 28,199 ($942,028 reported value) |
| Quarter flows | 0 new, 1 added, 2 trimmed, 0 exited; -4,955 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("SHPP") on the look-back bundles. Top holders of SHPP · All 13F managers
Short interest (2026-10-15)
| Shares short | 166 (-41.5% vs prior report) |
|---|---|
| Days to cover | 1.60 |
SHPP short interest history · Unclassified (ETFs, funds, other) sector
SHPP FAQ
How far back does SHPP price history go?
2023-04-27 to 2026-10-28
Is SHPP still trading?
Yes. SHPP is listed and updated every trading day.
What was SHPP's last close?
$34.43 on 2026-10-28, +19.1% over one year
How do I download SHPP historical data in Python?
pip install finzdata, then yf.Ticker("SHPP").history(start="2023-04-27")
Get it in Python
import finzdata as yf
df = yf.Ticker("SHPP").history(start="2023-04-27", interval="1d")
m15 = yf.Ticker("SHPP").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()