Innodata (INOD) Non-Current Assets (2010 - 2026)
Innodata (INOD) posted Non-Current Assets of $35.91 million for Q2 2026, up 12.4% from $31.93 million a year earlier but down 1.9% from the prior quarter.
Innodata (INOD) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Innodata's Non-Current Assets came in at $33.2 million, up 2.3% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Innodata's Non-Current Assets was $32.45 million in FY2024 (+18.6%), $27.35 million in FY2023 (+12.3%), $24.36 million in FY2022 (-3.6%) and $25.26 million in FY2021 (-0.5%).
- Quarterly Non-Current Assets has run from a low of $23.89 million in Q3 2022 to a high of $36.62 million in Q1 2026 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with growth averaging 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2024, with growth of 23.2%; the weakest was Q3 2022, with a decline of 4.5%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $36.62 million (Q1 2026), $33.2 million (Q4 2025) and $33.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 5.53 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 13.24 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 8.23 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 8.95 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 3.39 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 2.35 Bn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 2.09 Bn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 1.11 Bn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 4.14 Bn |
| 10 | Innodata | 1.24 Bn | 623.11 Mn | 35.54 Mn | 36.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 36.45 Mn |
| Jun 30, 2026 | 35.91 Mn |
| Mar 31, 2026 | 36.62 Mn |
| Dec 31, 2025 | 33.20 Mn |
| Sep 30, 2025 | 33.14 Mn |
| Jun 30, 2025 | 31.93 Mn |
| Mar 31, 2025 | 32.86 Mn |
| Dec 31, 2024 | 32.45 Mn |
| Sep 30, 2024 | 33.39 Mn |
| Jun 30, 2024 | 27.64 Mn |
| Mar 31, 2024 | 26.70 Mn |
| Dec 31, 2023 | 27.35 Mn |
| Sep 30, 2023 | 27.10 Mn |
| Jun 30, 2023 | 25.74 Mn |
| Mar 31, 2023 | 25.64 Mn |
| Dec 31, 2022 | 24.36 Mn |
| Sep 30, 2022 | 23.89 Mn |
| Jun 30, 2022 | 24.70 Mn |
| Mar 31, 2022 | 24.85 Mn |
| Dec 31, 2021 | 25.26 Mn |
Innodata Non-Current Assets 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=non-current-assets&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();