Innodata (INOD) Goodwill & Intangibles (2010 - 2026)
Innodata (INOD) posted Goodwill & Intangibles of $16.2 million for Q2 2026, little changed on a QoQ basis from $16.2 million in Q1 2026, and up 1.3% year-over-year from $16.0 million in Q2 2025.
Innodata (INOD) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
Innodata has reported Goodwill & Intangibles for 17 years, with the latest figure at $16.2 million in Q2 2026.
- On a quarterly basis, Goodwill & Intangibles rose 1.3% year-over-year to $16.2 million in Q2 2026; TTM through Jun 2026 was $16.2 million, a 1.3% increase from a year earlier, with the FY2025 full-year figure at $16.1 million, up 4.75% from the prior year.
- Goodwill & Intangibles was $16.2 million for Q2 2026 at Innodata, roughly flat from $16.2 million in the prior quarter.
- The five-year high for Goodwill & Intangibles was $24.0 million in Q3 2022, with the low at $14.6 million in Q4 2022.
- Average Goodwill & Intangibles over 5 years is $17.0 million, with a median of $16.0 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Goodwill & Intangibles surged 91.57% in 2022, then sank 35.53% in 2023.
- Over 5 years, Goodwill & Intangibles stood at $14.6 million in 2022, then increased by 8.88% to $15.9 million in 2023, then slipped by 3.18% to $15.4 million in 2024, then grew by 4.75% to $16.1 million in 2025, then increased by 0.88% to $16.2 million in 2026.
- The last three Goodwill & Intangibles figures came in at $16.2 million (Q2 2026), $16.2 million (Q1 2026), and $16.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.23 Mn |
| Mar 31, 2026 | 16.19 Mn |
| Dec 31, 2025 | 16.08 Mn |
| Sep 30, 2025 | 15.99 Mn |
| Jun 30, 2025 | 16.02 Mn |
| Mar 31, 2025 | 15.59 Mn |
| Dec 31, 2024 | 15.35 Mn |
| Sep 30, 2024 | 15.98 Mn |
| Jun 30, 2024 | 15.95 Mn |
| Mar 31, 2024 | 15.93 Mn |
| Dec 31, 2023 | 15.86 Mn |
| Sep 30, 2023 | 15.48 Mn |
| Jun 30, 2023 | 15.59 Mn |
| Mar 31, 2023 | 15.11 Mn |
| Dec 31, 2022 | 14.56 Mn |
| Sep 30, 2022 | 24.01 Mn |
| Jun 30, 2022 | 23.61 Mn |
| Mar 31, 2022 | 22.86 Mn |
| Dec 31, 2021 | 21.32 Mn |
| Sep 30, 2021 | 20.68 Mn |
Innodata Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();