Innodata (INOD) Cash & Equivalents (2010 - 2026)
Innodata's Cash & Equivalents was $240.3 million in Q2 2026, up 301.8% from $59.8 million a year earlier and up 104.7% from the prior quarter.
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Analysis
Innodata (INOD) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Innodata came in at $82.22 million, up 75.3% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $46.9 million in FY2024 (+239.7%), $13.81 million in FY2023 (+41.0%), $9.79 million in FY2022 (-48.2%) and $18.9 million in FY2021 (+7.6%).
- The Q2 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Compared with a year earlier, Cash & Equivalents has increased for 13 straight quarters, with growth averaging 180.4% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2026 (growth of 301.8%); the worst was Q2 2022 (a decline of 52.5%).
- Per Business Quant data, INOD's Cash & Equivalents in the three quarters before Q2 2026 was $117.4 million (Q1 2026), $82.22 million (Q4 2025) and $73.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.27 Bn | 37.77 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 32.97 Bn | 26.13 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Wipro | 22.31 Bn | 17.45 Bn | 745.00 Mn | 992.00 Mn |
| 4 | Cdw | 20.86 Bn | 18.85 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn | 749.30 Mn |
| 6 | Cgi | 18.27 Bn | 16.07 Bn | - | 440.31 Mn |
| 7 | Arrow Electronics | 10.75 Bn | 9.70 Bn | 1.13 Bn | 244.63 Mn |
| 8 | Avnet | 7.30 Bn | 6.48 Bn | 865.03 Mn | 155.40 Mn |
| 9 | EPAM Systems | 7.06 Bn | 2.70 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Innodata | 2.00 Bn | 1.48 Bn | 42.46 Mn | 240.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 240.30 Mn |
| Mar 31, 2026 | 117.40 Mn |
| Dec 31, 2025 | 82.22 Mn |
| Sep 30, 2025 | 73.90 Mn |
| Jun 30, 2025 | 59.80 Mn |
| Mar 31, 2025 | 56.60 Mn |
| Dec 31, 2024 | 46.90 Mn |
| Sep 30, 2024 | 26.36 Mn |
| Jun 30, 2024 | 16.51 Mn |
| Mar 31, 2024 | 18.98 Mn |
| Dec 31, 2023 | 13.81 Mn |
| Sep 30, 2023 | 14.81 Mn |
| Jun 30, 2023 | 13.65 Mn |
| Mar 31, 2023 | 10.33 Mn |
| Dec 31, 2022 | 9.79 Mn |
| Sep 30, 2022 | 10.73 Mn |
| Jun 30, 2022 | 10.48 Mn |
| Mar 31, 2022 | 15.43 Mn |
| Dec 31, 2021 | 18.90 Mn |
| Sep 30, 2021 | 20.94 Mn |
API Access
Innodata Cash & Equivalents 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=cash-and-equivalents&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();