Innodata (INOD) Total Debt (2010 - 2026)
Innodata (INOD) posted Total Debt of $11.2 million for Q2 2026, down 5.49% on a QoQ basis from $11.8 million in Q1 2026, and up 24.85% year-over-year from $9.0 million in Q2 2025.
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Analysis
Innodata (INOD) Total Debt (2010 - 2026) Analysis & Trends
Innodata has reported Total Debt for 17 years, with the latest figure at $11.2 million in Q2 2026.
- On a quarterly basis, Total Debt rose 24.85% year-over-year to $11.2 million in Q2 2026; TTM through Jun 2026 was $11.2 million, a 24.85% increase from a year earlier, with the FY2025 full-year figure at $9.3 million, up 10.7% from the prior year.
- Total Debt was $11.2 million for Q2 2026 at Innodata, down from $11.8 million in the prior quarter.
- The five-year high for Total Debt was $11.8 million in Q1 2026, with the low at $6.0 million in Q4 2022.
- Average Total Debt over 5 years is $8.3 million, with a median of $8.1 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Total Debt declined 20.54% in 2022, then jumped 37.77% in 2026.
- Over 5 years, Total Debt stood at $6.0 million in 2022, then surged by 34.97% to $8.0 million in 2023, then climbed by 4.33% to $8.4 million in 2024, then gained by 10.7% to $9.3 million in 2025, then advanced by 20.63% to $11.2 million in 2026.
- The last three Total Debt figures came in at $11.2 million (Q2 2026), $11.8 million (Q1 2026), and $9.3 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 282.55 Mn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.59 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 2.66 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 25.00 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 2.52 Bn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 762.31 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 5.85 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 11.20 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 292.67 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 3.50 Bn |
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 | 7.51 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();