Innodata (INOD) Capital Expenditures (2010 - 2026)
Innodata (INOD) recorded Capital Expenditures of $2.89 million in Q2 2026, up 69.1% from $1.71 million a year earlier and up 19.3% from the prior quarter.
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Analysis
Innodata (INOD) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Innodata's Capital Expenditures came in at $12.36 million as of Jun 30, 2026, up 59.8% year-over-year; for FY2025, it came in at $11.1 million, up 43.4% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 51.0% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $7.74 million in FY2024 (+39.1%), $5.56 million in FY2023 (-14.7%), $6.53 million in FY2022 (+49.4%) and $4.37 million in FY2021 (+208.9%).
- Quarterly Capital Expenditures has ranged from $1.24 million in Q4 2023 to $4.23 million in Q3 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures has increased for four consecutive quarters, with growth averaging 52.2% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 897.2% in Q3 2021, against a decline of 37.4% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.42 million (Q1 2026), $2.82 million (Q4 2025) and $4.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.32 Bn | 38.82 Bn | 1.60 Bn | -81.00 Mn |
| 2 | Cognizant Technology Solutions | 32.14 Bn | 25.30 Bn | 1.83 Bn | 99.00 Mn |
| 3 | Wipro | 21.69 Bn | 16.39 Bn | 738.00 Mn | -35.69 Mn |
| 4 | Td Synnex | 19.83 Bn | 13.99 Bn | 1.43 Bn | 58.88 Mn |
| 5 | Cdw | 19.75 Bn | 17.74 Bn | 1.32 Bn | 27.50 Mn |
| 6 | Cgi | 17.64 Bn | 15.43 Bn | - | -20.01 Mn |
| 7 | Arrow Electronics | 11.15 Bn | 10.10 Bn | 1.13 Bn | 21.14 Mn |
| 8 | Avnet | 7.58 Bn | 6.76 Bn | 865.03 Mn | 16.76 Mn |
| 9 | EPAM Systems | 6.91 Bn | 2.55 Bn | 429.57 Mn | 15.21 Mn |
| 10 | Innodata | 1.92 Bn | 1.39 Bn | 42.46 Mn | 2.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Mn |
| Mar 31, 2026 | 2.42 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 4.23 Mn |
| Jun 30, 2025 | 1.71 Mn |
| Mar 31, 2025 | 2.35 Mn |
| Dec 31, 2024 | 2.22 Mn |
| Sep 30, 2024 | 1.46 Mn |
| Jun 30, 2024 | 2.73 Mn |
| Mar 31, 2024 | 1.34 Mn |
| Dec 31, 2023 | 1.24 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 1.31 Mn |
| Mar 31, 2023 | 1.70 Mn |
| Dec 31, 2022 | 1.27 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.94 Mn |
| Dec 31, 2021 | 1.45 Mn |
| Sep 30, 2021 | 1.45 Mn |
API Access
Innodata Capital Expenditures 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=capital-expenditures&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();