MJSC stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | MJSC |
|---|---|
| History | 2025-09-17 to 2026-10-30 (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
MJSC last closed at $57.68 on 2026-10-30, +17.0% over the past year. Its deepest fall from a prior high in this history was -12.6%, reached on 2026-03-20.
| Last close | $57.68 (2026-10-30) |
|---|---|
| 1-year change | +17.0% |
| Annualized since 2025-09-17 | +13.6% |
| 52-week range | $47.83 – $63.11 |
| Deepest drawdown | -12.6% (2026-03-20) |
| Avg. daily dollar volume (3 months) | $55,601 |
| Daily bars in history | 116 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 400,985 ($24.8m reported value) |
| Quarter flows | 1 new, 1 added, 0 trimmed, 0 exited; +29,617 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("MJSC") on the look-back bundles. Top holders of MJSC · All 13F managers
Short interest (2026-10-15)
| Shares short | 49 (+2.1% vs prior report) |
|---|---|
| Days to cover | 1.00 |
MJSC short interest history · Unclassified (ETFs, funds, other) sector
MJSC FAQ
How far back does MJSC price history go?
2025-09-17 to 2026-10-30
Is MJSC still trading?
Yes. MJSC is listed and updated every trading day.
What was MJSC's last close?
$57.68 on 2026-10-30, +17.0% over one year
How do I download MJSC historical data in Python?
pip install finzdata, then yf.Ticker("MJSC").history(start="2025-09-17")
Get it in Python
import finzdata as yf
df = yf.Ticker("MJSC").history(start="2025-09-17", interval="1d")
m15 = yf.Ticker("MJSC").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()