Innodata (INOD) Total Debt (2010 - 2026)
Innodata's Total Debt was $11.2 million in Q2 2026, up 24.8% from $8.97 million a year earlier but down 5.5% from the prior quarter.
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Analysis
Innodata (INOD) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Innodata came in at $9.28 million, up 10.7% from FY2024.
- Total Debt has now increased for three consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Total Debt was $8.39 million in FY2024 (+4.3%), $8.04 million in FY2023 (+35.0%), $5.96 million in FY2022 (-20.5%) and $7.5 million in FY2021 (-6.2%).
- Quarterly Total Debt has moved between $5.96 million (Q4 2022) and $11.85 million (Q1 2026) over five years.
- Compared with a year earlier, Total Debt has increased for eight straight quarters, with growth averaging 13.9% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was Q1 2026 (growth of 37.8%); the worst was Q4 2022 (a decline of 20.5%).
- Per Business Quant data, INOD's Total Debt in the three quarters before Q2 2026 was $11.85 million (Q1 2026), $9.28 million (Q4 2025) and $8.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 1.56 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 1.88 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 5.82 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 5.52 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 2.61 Bn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 2.17 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 3.23 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 25.00 Mn |
| 10 | Innodata | 1.84 Bn | 1.31 Bn | 42.46 Mn | 11.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.20 Mn |
| Mar 31, 2026 | 11.85 Mn |
| Dec 31, 2025 | 9.28 Mn |
| Sep 30, 2025 | 8.78 Mn |
| Jun 30, 2025 | 8.97 Mn |
| Mar 31, 2025 | 8.60 Mn |
| Dec 31, 2024 | 8.39 Mn |
| Sep 30, 2024 | 8.48 Mn |
| Jun 30, 2024 | 8.14 Mn |
| Mar 31, 2024 | 8.06 Mn |
| Dec 31, 2023 | 8.04 Mn |
| Sep 30, 2023 | 7.51 Mn |
| Jun 30, 2023 | 8.58 Mn |
| Mar 31, 2023 | 7.41 Mn |
| Dec 31, 2022 | 5.96 Mn |
| Sep 30, 2022 | 6.47 Mn |
| Jun 30, 2022 | 6.70 Mn |
| Mar 31, 2022 | 7.36 Mn |
| Dec 31, 2021 | 7.50 Mn |
| Sep 30, 2021 | 6.83 Mn |
API Access
Innodata Total Debt 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=total-debt&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();