PMMY stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | PMMY |
|---|---|
| History | 2025-05-01 to 2026-10-19 (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
PMMY last closed at $27.21 on 2026-10-19, +7.7% over the past year. Its deepest fall from a prior high in this history was -0.6%, reached on 2026-06-10.
| Last close | $27.21 (2026-10-19) |
|---|---|
| 1-year change | +7.7% |
| Annualized since 2025-05-01 | +5.8% |
| 52-week range | $26.23 – $27.23 |
| Deepest drawdown | -0.6% (2026-06-10) |
| Avg. daily dollar volume (3 months) | $39,830 |
| Daily bars in history | 69 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 87,507 ($2.3m reported value) |
| Quarter flows | 3 new, 1 added, 0 trimmed, 0 exited; +59,758 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("PMMY") on the look-back bundles. Top holders of PMMY · All 13F managers
Short interest (2026-10-15)
| Shares short | 33 (-19.5% vs prior report) |
|---|---|
| Days to cover | 1.00 |
PMMY short interest history · Unclassified (ETFs, funds, other) sector
PMMY FAQ
How far back does PMMY price history go?
2025-05-01 to 2026-10-19
Is PMMY still trading?
Yes. PMMY is listed and updated every trading day.
What was PMMY's last close?
$27.21 on 2026-10-19, +7.7% over one year
How do I download PMMY historical data in Python?
pip install finzdata, then yf.Ticker("PMMY").history(start="2025-05-01")
Get it in Python
import finzdata as yf
df = yf.Ticker("PMMY").history(start="2025-05-01", interval="1d")
m15 = yf.Ticker("PMMY").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()