MUSQ stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | MUSQ |
|---|---|
| History | 2023-07-07 to 2026-10-20 (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
MUSQ last closed at $25.51 on 2026-10-20, -12.1% over the past year. Its deepest fall from a prior high in this history was -23.6%, reached on 2026-03-27.
| Last close | $25.51 (2026-10-20) |
|---|---|
| 1-year change | -12.1% |
| Annualized since 2023-07-07 | +0.7% |
| 52-week range | $23.22 – $29.41 |
| Deepest drawdown | -23.6% (2026-03-27) |
| Avg. daily dollar volume (3 months) | $107,821 |
| Daily bars in history | 684 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 6 |
|---|---|
| Shares held | 17,953 ($447,530 reported value) |
| Quarter flows | 3 new, 0 added, 2 trimmed, 2 exited; -2,271 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("MUSQ") on the look-back bundles. Top holders of MUSQ · All 13F managers
Short interest (2026-10-15)
| Shares short | 627 (-12.4% vs prior report) |
|---|---|
| Days to cover | 1.75 |
MUSQ short interest history · Unclassified (ETFs, funds, other) sector
MUSQ FAQ
How far back does MUSQ price history go?
2023-07-07 to 2026-10-20
Is MUSQ still trading?
Yes. MUSQ is listed and updated every trading day.
What was MUSQ's last close?
$25.51 on 2026-10-20, -12.1% over one year
How do I download MUSQ historical data in Python?
pip install finzdata, then yf.Ticker("MUSQ").history(start="2023-07-07")
Get it in Python
import finzdata as yf
df = yf.Ticker("MUSQ").history(start="2023-07-07", interval="1d")
m15 = yf.Ticker("MUSQ").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()