Innodata (INOD) Shares Outstanding (Entity) (2010 - 2026)
Innodata (INOD) posted Shares Outstanding (Entity) of 34.38 million for Q2 2026, up 7.9% from 31.85 million a year earlier and up 5.3% from the prior quarter.
Innodata (INOD) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Innodata's Shares Outstanding (Entity) came in at 32.34 million, up 3.3% from FY2024.
- Annual Shares Outstanding (Entity) has increased for six consecutive years, with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Innodata's Shares Outstanding (Entity) was 31.3 million in FY2024 (+8.9%), 28.75 million in FY2023 (+4.9%), 27.41 million in FY2022 (+0.9%) and 27.16 million in FY2021 (+5.3%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2010.
- On a year-over-year basis, Shares Outstanding (Entity) has increased in each of the last 20 quarters, with growth averaging 6.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Entity) ranged from 0.8% (Q3 2022) to 10.4% (Q1 2025).
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 32.66 million (Q1 2026), 32.34 million (Q4 2025) and 31.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 452.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | - |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 125.30 Mn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 79.78 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 50.91 Mn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 82.07 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 51.59 Mn |
| 10 | Innodata | 2.02 Bn | 1.50 Bn | 42.46 Mn | 34.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.38 Mn |
| Mar 31, 2026 | 32.66 Mn |
| Dec 31, 2025 | 32.34 Mn |
| Sep 30, 2025 | 31.86 Mn |
| Jun 30, 2025 | 31.85 Mn |
| Mar 31, 2025 | 31.75 Mn |
| Dec 31, 2024 | 31.30 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | 28.99 Mn |
| Mar 31, 2024 | 28.75 Mn |
| Dec 31, 2023 | 28.75 Mn |
| Sep 30, 2023 | 28.71 Mn |
| Jun 30, 2023 | 28.30 Mn |
| Mar 31, 2023 | 27.55 Mn |
| Dec 31, 2022 | 27.41 Mn |
| Sep 30, 2022 | 27.37 Mn |
| Jun 30, 2022 | 27.30 Mn |
| Mar 31, 2022 | 27.18 Mn |
| Dec 31, 2021 | 27.16 Mn |
| Sep 30, 2021 | 27.15 Mn |
Innodata Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "INOD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();