IRBO stock price history
STOCKDelisted1, 5, 15, 30-minute, hourly & daily bars
| Symbol | IRBO-DELISTED |
|---|---|
| History | 2018-06-28 to 2026-07-17 (about 8 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 | Delisted: kept in full, so backtests see the whole history |
| Free tier | Last 12 months of daily bars |
Price history at a glance
IRBO last closed at $65.43 on 2026-07-17, +54.7% over the past year and +53.3% over five years. Its deepest fall from a prior high in this history was -55.8%, reached on 2022-10-14.
| Last close | $65.43 (2026-07-17) |
|---|---|
| 1-year change | +54.7% |
| 5-year change | +53.3% |
| Annualized since 2018-06-28 | +13.5% |
| 52-week range | $41.29 – $80.75 |
| Deepest drawdown | -55.8% (2022-10-14) |
| Avg. daily dollar volume (3 months) | $61.6m |
| Daily bars in history | 2,020 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 398 |
|---|---|
| Shares held | 20,881,301 ($1.6bn reported value) |
| Quarter flows | 102 new, 136 added, 77 trimmed, 29 exited; +3,301,536 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("IRBO") on the look-back bundles. Top holders of IRBO · All 13F managers
IRBO FAQ
How far back does IRBO price history go?
2018-06-28 to 2026-07-17
Is IRBO still trading?
No. IRBO was delisted; its last bar is 2026-07-17, and FinzData keeps the full history so backtests stay survivorship-free.
What was IRBO's last close?
$65.43 on 2026-07-17, +54.7% over one year
How do I download IRBO historical data in Python?
pip install finzdata, then yf.Ticker("IRBO-DELISTED").history(start="2018-06-28")
Get it in Python
import finzdata as yf
df = yf.Ticker("IRBO-DELISTED").history(start="2018-06-28", interval="1d")
m15 = yf.Ticker("IRBO-DELISTED").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()