VNSE stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | VNSE |
|---|---|
| History | 2020-09-17 to 2026-10-28 (about 6 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
VNSE last closed at $42.18 on 2026-10-28, +7.3% over the past year and +14.5% over five years. Its deepest fall from a prior high in this history was -39.3%, reached on 2022-10-11.
| Last close | $42.18 (2026-10-28) |
|---|---|
| 1-year change | +7.3% |
| 5-year change | +14.5% |
| Annualized since 2020-09-17 | +9.2% |
| 52-week range | $35.19 – $42.94 |
| Deepest drawdown | -39.3% (2022-10-11) |
| Avg. daily dollar volume (3 months) | $47,927 |
| Daily bars in history | 1,205 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 3 |
|---|---|
| Shares held | 234,380 ($9.7m reported value) |
| Quarter flows | 0 new, 0 added, 2 trimmed, 0 exited; -6,407 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("VNSE") on the look-back bundles. Top holders of VNSE · All 13F managers
Short interest (2026-10-15)
| Shares short | 3 (-66.7% vs prior report) |
|---|---|
| Days to cover | 1.00 |
VNSE short interest history · Unclassified (ETFs, funds, other) sector
VNSE FAQ
How far back does VNSE price history go?
2020-09-17 to 2026-10-28
Is VNSE still trading?
Yes. VNSE is listed and updated every trading day.
What was VNSE's last close?
$42.18 on 2026-10-28, +7.3% over one year
How do I download VNSE historical data in Python?
pip install finzdata, then yf.Ticker("VNSE").history(start="2020-09-17")
Get it in Python
import finzdata as yf
df = yf.Ticker("VNSE").history(start="2020-09-17", interval="1d")
m15 = yf.Ticker("VNSE").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()