FCFY stock price history
STOCKListed1, 5, 15, 30-minute, hourly & daily bars
| Symbol | FCFY |
|---|---|
| History | 2023-12-21 to 2026-10-26 (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
FCFY last closed at $30.92 on 2026-10-26, +14.6% over the past year. Its deepest fall from a prior high in this history was -22.0%, reached on 2025-04-08.
| Last close | $30.92 (2026-10-26) |
|---|---|
| 1-year change | +14.6% |
| Annualized since 2023-12-21 | +12.6% |
| 52-week range | $24.92 – $31.56 |
| Deepest drawdown | -22.0% (2025-04-08) |
| Avg. daily dollar volume (3 months) | $67,106 |
| Daily bars in history | 462 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 4 |
|---|---|
| Shares held | 33,590 ($906,683 reported value) |
| Quarter flows | 0 new, 2 added, 0 trimmed, 0 exited; +3,732 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("FCFY") on the look-back bundles. Top holders of FCFY · All 13F managers
Short interest (2026-10-15)
| Shares short | 217 (+8.0% vs prior report) |
|---|---|
| Days to cover | 1.00 |
FCFY short interest history · Unclassified (ETFs, funds, other) sector
FCFY FAQ
How far back does FCFY price history go?
2023-12-21 to 2026-10-26
Is FCFY still trading?
Yes. FCFY is listed and updated every trading day.
What was FCFY's last close?
$30.92 on 2026-10-26, +14.6% over one year
How do I download FCFY historical data in Python?
pip install finzdata, then yf.Ticker("FCFY").history(start="2023-12-21")
Get it in Python
import finzdata as yf
df = yf.Ticker("FCFY").history(start="2023-12-21", interval="1d")
m15 = yf.Ticker("FCFY").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()