Inovalon Holdings (INOV) stock price history
STOCKDelisted1, 5, 15, 30-minute, hourly & daily bars
| Symbol | INOV-DELISTED |
|---|---|
| Name | Inovalon Holdings |
| History | 2023-11-01 to 2026-04-02 (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 | Delisted: kept in full, so backtests see the whole history |
| Free tier | Last 12 months of daily bars |
Price history at a glance
INOV last closed at $34.92 on 2026-04-02, +15.6% over the past year. Its deepest fall from a prior high in this history was -7.8%, reached on 2025-04-08.
| Last close | $34.92 (2026-04-02) |
|---|---|
| 1-year change | +15.6% |
| Annualized since 2023-11-01 | +14.6% |
| 52-week range | $28.28 – $36.54 |
| Deepest drawdown | -7.8% (2025-04-08) |
| Avg. daily dollar volume (3 months) | $537,545 |
| Daily bars in history | 496 |
Split- and dividend-adjusted closes. Computed by FinzData from its own daily bars.
Institutional ownership (13F, 2026Q2)
| Managers holding | 47 |
|---|---|
| Shares held | 1,046,140 ($38.0m reported value) |
| Quarter flows | 1 new, 8 added, 17 trimmed, 7 exited; -62,607 shares vs the prior quarter |
From SEC Form 13F filings. Every holder, line by line, and the full history since 2013: yf.Client().holders("INOV") on the look-back bundles. Top holders of INOV · All 13F managers
INOV FAQ
How far back does INOV price history go?
2023-11-01 to 2026-04-02
Is INOV still trading?
No. INOV was delisted; its last bar is 2026-04-02, and FinzData keeps the full history so backtests stay survivorship-free.
What was INOV's last close?
$34.92 on 2026-04-02, +15.6% over one year
How do I download INOV historical data in Python?
pip install finzdata, then yf.Ticker("INOV-DELISTED").history(start="2023-11-01")
Get it in Python
import finzdata as yf
df = yf.Ticker("INOV-DELISTED").history(start="2023-11-01", interval="1d")
m15 = yf.Ticker("INOV-DELISTED").history(period="5d", interval="15m") # also 1m, 5m, 30m, 1h
df.tail()