ZSB stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | ZSB |
|---|---|
| History | 2023-01-13 to 2026-10-01 (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
ZSB last closed at $20.59 on 2026-10-01, +23.3% over the past year. Its deepest fall from a prior high in this history was -52.2%, reached on 2025-02-25.
| Last close | $20.59 (2026-10-01) |
|---|---|
| 1-year change | +23.3% |
| Annualized since 2023-01-13 | -5.4% |
| 52-week range | $16.70 – $25.01 |
| Deepest drawdown | -52.2% (2025-02-25) |
| Avg. daily dollar volume (3 months) | $14,488 |
| Daily bars in history | 531 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 2 |
|---|---|
| Shares held | 2,395 ($51,945 reported value) |
| Quarter flows | 1 new, 0 added, 0 trimmed, 1 exited; -53,631 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("ZSB") on the look-back bundles. Top holders of ZSB · All 13F managers
Short interest (2026-10-15)
| Shares short | 492 (+4000.0% vs prior report) |
|---|---|
| Days to cover | 5.59 |
ZSB short interest history · Unclassified (ETFs, funds, other) sector
ZSB FAQ
How far back does ZSB price history go?
2023-01-13 to 2026-10-01
Is ZSB still trading?
Yes. ZSB is listed and updated every trading day.
What was ZSB's last close?
$20.59 on 2026-10-01, +23.3% over one year
How do I download ZSB historical data in Python?
pip install finzdata, then yf.Ticker("ZSB").history(start="2023-01-13")
Get it in Python
import finzdata as yf
df = yf.Ticker("ZSB").history(start="2023-01-13", interval="1d")
m15 = yf.Ticker("ZSB").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()