Innodata (INOD) Long-Term Debt Repayments (2010 - 2026)
Innodata's Long-Term Debt Repayments came in at $871,000 for Q2 2026, up 846.7% from $92,000 a year earlier.
Innodata (INOD) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Innodata reported Long-Term Debt Repayments of $1.18 million, up 537.8% year-over-year; for FY2025, it came in at $420,000, up 16.0% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -13.4% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $362,000 in FY2024 (-19.9%), $452,000 in FY2023 (-29.3%), $639,000 in FY2022 (-7.5%) and $691,000 in FY2021 (-20.0%).
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2018.
- Year-over-year, Long-Term Debt Repayments increased in three of the last five quarters, with growth averaging 151.0%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q2 2026 (growth of 846.7%), and the weakest in Q2 2024 (a decline of 97.5%).
- Business Quant data shows INOD's Long-Term Debt Repayments at $6,000 (Q1 2026), $51,000 (Q4 2025) and $252,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.71 Bn | 40.21 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 33.74 Bn | 26.90 Bn | 1.83 Bn | - |
| 3 | Wipro | 22.79 Bn | 17.93 Bn | 745.00 Mn | -626.07 Mn |
| 4 | Cdw | 20.27 Bn | 18.26 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.20 Bn | 13.36 Bn | 1.43 Bn | 700.23 Mn |
| 6 | Cgi | 18.16 Bn | 15.96 Bn | - | - |
| 7 | Arrow Electronics | 10.74 Bn | 9.69 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.25 Bn | 6.43 Bn | 865.03 Mn | 140.50 Mn |
| 9 | EPAM Systems | 7.13 Bn | 2.76 Bn | 429.57 Mn | 180.03 Mn |
| 10 | Innodata | 1.99 Bn | 1.47 Bn | 42.46 Mn | 871,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 871,000.00 |
| Mar 31, 2026 | 6,000.00 |
| Dec 31, 2025 | 51,000.00 |
| Sep 30, 2025 | 252,000.00 |
| Jun 30, 2025 | 92,000.00 |
| Mar 31, 2025 | 25,000.00 |
| Dec 31, 2024 | -154,000.00 |
| Sep 30, 2024 | 222,000.00 |
| Jun 30, 2024 | 3,000.00 |
| Mar 31, 2024 | 291,000.00 |
| Dec 31, 2023 | 123,000.00 |
| Sep 30, 2023 | 137,000.00 |
| Jun 30, 2023 | 122,000.00 |
| Mar 31, 2023 | 70,000.00 |
| Dec 31, 2022 | 129,000.00 |
| Sep 30, 2022 | 33,000.00 |
| Jun 30, 2022 | 438,000.00 |
| Mar 31, 2022 | 39,000.00 |
| Dec 31, 2021 | 25,000.00 |
| Sep 30, 2021 | 92,000.00 |
Innodata Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();