Innodata (INOD) Property, Plant & Equipment (Net) (2010 - 2026)
Innodata's Property, Plant & Equipment (Net) was $8.39 million in Q2 2026, up 78.2% from $4.71 million a year earlier and up 4.7% from the prior quarter.
Innodata (INOD) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Innodata came in at $7.97 million, up 94.2% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $4.1 million in FY2024 (+79.8%), $2.28 million in FY2023 (-9.2%), $2.51 million in FY2022 (-14.8%) and $2.95 million in FY2021 (+59.1%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q2 2013.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for nine straight quarters, with growth averaging 80.2% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2025 (growth of 119.0%); the worst was Q3 2021 (a decline of 65.2%).
- Per Business Quant data, INOD's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $8.01 million (Q1 2026), $7.97 million (Q4 2025) and $7.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 1.42 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 859.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 565.11 Mn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 253.96 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 460.82 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 644.60 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Innodata | 1.84 Bn | 1.31 Bn | 42.46 Mn | 8.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.39 Mn |
| Mar 31, 2026 | 8.01 Mn |
| Dec 31, 2025 | 7.97 Mn |
| Sep 30, 2025 | 7.14 Mn |
| Jun 30, 2025 | 4.71 Mn |
| Mar 31, 2025 | 4.68 Mn |
| Dec 31, 2024 | 4.10 Mn |
| Sep 30, 2024 | 3.33 Mn |
| Jun 30, 2024 | 3.27 Mn |
| Mar 31, 2024 | 2.14 Mn |
| Dec 31, 2023 | 2.28 Mn |
| Sep 30, 2023 | 2.37 Mn |
| Jun 30, 2023 | 2.43 Mn |
| Mar 31, 2023 | 2.59 Mn |
| Dec 31, 2022 | 2.51 Mn |
| Sep 30, 2022 | 2.72 Mn |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 2.88 Mn |
| Dec 31, 2021 | 2.95 Mn |
| Sep 30, 2021 | 2.41 Mn |
Innodata Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();