Innodata (INOD) EV to EBITDA (2011 - 2026)
Innodata's EV to EBITDA came in at 36.88 for Q2 2026, up 8.3% from 34.06 a year earlier and up 80.6% from the prior quarter.
Innodata (INOD) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innodata reported EV to EBITDA of 32.59, up 4.3% year-over-year; for FY2025, it came in at 33.47, down 15.2% from FY2024.
- Going back by year, EV to EBITDA was 39.49 in FY2024 (-9.4%) and 43.61 in FY2023.
- The five-year range for quarterly EV to EBITDA is 20.42 (Q1 2026) to 102.19 (Q3 2024).
- Year-over-year, EV to EBITDA increased in 1 of the last four quarters, with an average decline of 21.6%.
- Business Quant data shows INOD's EV to EBITDA at 20.42 (Q1 2026), 33.47 (Q4 2025) and 51.01 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn |
| 10 | Innodata | 1.24 Bn | 623.11 Mn | 35.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.38 |
| Jun 30, 2026 | 36.88 |
| Mar 31, 2026 | 20.42 |
| Dec 31, 2025 | 33.47 |
| Sep 30, 2025 | 51.01 |
| Jun 30, 2025 | 34.06 |
| Mar 31, 2025 | 28.98 |
| Dec 31, 2024 | 39.49 |
| Sep 30, 2024 | 22.47 |
| Jun 30, 2024 | 43.53 |
| Mar 31, 2024 | 20.60 |
| Dec 31, 2023 | 45.22 |
| Sep 30, 2023 | 220.96 |
| Sep 30, 2020 | 23.76 |
| Jun 30, 2020 | 9.13 |
| Mar 31, 2020 | 3.80 |
| Dec 31, 2019 | 8.14 |
| Sep 30, 2019 | 9.54 |
| Jun 30, 2019 | 2.22 |
| Mar 31, 2019 | 4.26 |
Innodata EV to EBITDA 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=ev-to-ebitda&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();