Innodata (INOD) Price to Earnings (2011 - 2026)
Innodata's (INOD) Price to Earnings was 46.40 for Q2 2026, up 24.4% from 37.29 a year earlier and up 68.0% from the prior quarter.
Analysis
Innodata (INOD) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Innodata was 39.77, down 21.3% from FY2024.
- By year, Price to Earnings came in at 50.52 in FY2024.
- Five-year quarterly Price to Earnings spans a low of 24.30 in Q3 2024 and a high of 380.54 in Q3 2021.
- Year over year, Price to Earnings gained in three of the last six quarters, with growth averaging 6.7%.
- Per Business Quant data, the three quarters before Q2 2026 came in at 27.62 (Q1 2026), 42.75 (Q4 2025) and 63.72 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.92 Bn | 38.42 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.86 Bn | 26.03 Bn | 1.83 Bn |
| 3 | Wipro | 22.00 Bn | 17.14 Bn | 745.00 Mn |
| 4 | Cdw | 20.68 Bn | 18.67 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.81 Bn | 13.97 Bn | 1.43 Bn |
| 6 | Cgi | 18.27 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.78 Bn | 9.73 Bn | 1.13 Bn |
| 8 | Avnet | 7.31 Bn | 6.49 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.98 Bn | 2.62 Bn | 429.57 Mn |
| 10 | Innodata | 2.01 Bn | 1.48 Bn | 42.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.89 |
| Mar 31, 2026 | 32.10 |
| Dec 31, 2025 | 51.20 |
| Sep 30, 2025 | 72.98 |
| Jun 30, 2025 | 38.21 |
| Mar 31, 2025 | 32.14 |
| Dec 31, 2024 | 43.16 |
| Sep 30, 2024 | 24.30 |
| Jun 30, 2024 | 143.39 |
| Mar 31, 2024 | 86.38 |
| Sep 30, 2021 | 380.54 |
| Jun 30, 2021 | 111.49 |
| Mar 31, 2021 | 134.47 |
| Dec 31, 2020 | 291.56 |
| Sep 30, 2020 | 47.48 |
| Jun 30, 2020 | 44.04 |
| Mar 31, 2020 | 29.68 |
| Dec 31, 2019 | 42.38 |
| Sep 30, 2014 | 449.27 |
| Jun 30, 2013 | 37.19 |
API Access
Innodata Price to Earnings 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=price-to-earnings&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();