Innodata (INOD) Shares Outstanding (Diluted) (2010 - 2026)
Innodata (INOD) recorded Shares Outstanding (Diluted) of 34.77 million in Q2 2026, down 1.5% from 35.3 million a year earlier and down 2.3% from the prior quarter.
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Analysis
Innodata (INOD) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Innodata reported Shares Outstanding (Diluted) of 35.03 million, up 8.9% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for five straight years, with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 32.18 million in FY2024 (+14.4%), 28.13 million in FY2023 (+3.1%), 27.28 million in FY2022 (+2.4%) and 26.63 million in FY2021 (+4.1%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) rose in seven of the last eight quarters, with growth averaging 7.8%.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 22.2% in Q2 2025, against a decline of 7.8% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 35.57 million (Q1 2026), 35.03 million (Q4 2025) and 35.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | 4.12 Bn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | 466.00 Mn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | 10.50 Bn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | 127.40 Mn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | 79.41 Mn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | 225.49 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 51.87 Mn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 83.42 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 52.27 Mn |
| 10 | Innodata | 1.98 Bn | 1.45 Bn | 42.46 Mn | 34.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.77 Mn |
| Mar 31, 2026 | 35.57 Mn |
| Dec 31, 2025 | 35.03 Mn |
| Sep 30, 2025 | 35.27 Mn |
| Jun 30, 2025 | 35.30 Mn |
| Mar 31, 2025 | 34.95 Mn |
| Dec 31, 2024 | 32.18 Mn |
| Sep 30, 2024 | 34.01 Mn |
| Jun 30, 2024 | 28.88 Mn |
| Mar 31, 2024 | 32.24 Mn |
| Dec 31, 2023 | 28.13 Mn |
| Sep 30, 2023 | 32.46 Mn |
| Jun 30, 2023 | 27.86 Mn |
| Mar 31, 2023 | 27.46 Mn |
| Dec 31, 2022 | 27.28 Mn |
| Sep 30, 2022 | 27.33 Mn |
| Jun 30, 2022 | 27.23 Mn |
| Mar 31, 2022 | 27.16 Mn |
| Dec 31, 2021 | 26.63 Mn |
| Sep 30, 2021 | 26.97 Mn |
API Access
Innodata Shares Outstanding (Diluted) 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-diluted&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();