MULT stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | MULT |
|---|---|
| History | 2025-08-28 to 2026-10-27 (about 1 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
MULT last closed at $24.50 on 2026-10-27, -3.5% over the past year. Its deepest fall from a prior high in this history was -5.6%, reached on 2026-10-01.
| Last close | $24.50 (2026-10-27) |
|---|---|
| 1-year change | -3.5% |
| Annualized since 2025-08-28 | -2.3% |
| 52-week range | $24.17 – $25.60 |
| Deepest drawdown | -5.6% (2026-10-01) |
| Avg. daily dollar volume (3 months) | $5,828 |
| Daily bars in history | 287 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 7 |
|---|---|
| Shares held | 596,274 ($15.0m reported value) |
| Quarter flows | 0 new, 1 added, 2 trimmed, 0 exited; -1,680 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("MULT") on the look-back bundles. Top holders of MULT · All 13F managers
Short interest (2026-10-15)
| Shares short | 24 (-25.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
MULT short interest history · Unclassified (ETFs, funds, other) sector
MULT FAQ
How far back does MULT price history go?
2025-08-28 to 2026-10-27
Is MULT still trading?
Yes. MULT is listed and updated every trading day.
What was MULT's last close?
$24.50 on 2026-10-27, -3.5% over one year
How do I download MULT historical data in Python?
pip install finzdata, then yf.Ticker("MULT").history(start="2025-08-28")
Get it in Python
import finzdata as yf
df = yf.Ticker("MULT").history(start="2025-08-28", interval="1d")
m15 = yf.Ticker("MULT").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()