Innodata (INOD) Net Long-Term Debt Issued (Repaid) (2010 - 2026)
Innodata (INOD) posted Non-Current Debt of $8.94 million for Q2 2026, up 19.4% from $7.49 million a year earlier but down 6.3% from the prior quarter.
Powered by 
Analysis
Innodata (INOD) Net Long-Term Debt Issued (Repaid) (2010 - 2026) Analysis & Trends
At the end of FY2025, Innodata's Non-Current Debt came in at $7.63 million, up 13.1% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- In prior years, Innodata's Non-Current Debt was $6.74 million in FY2024 (-0.5%), $6.78 million in FY2023 (+33.5%), $5.08 million in FY2022 (-18.3%) and $6.22 million in FY2021 (-1.0%).
- Quarterly Non-Current Debt has run from a low of $5.08 million in Q4 2022 to a high of $9.55 million in Q1 2026 over five years.
- On a year-over-year basis, Non-Current Debt has increased in each of the last six quarters, with growth averaging 11.6% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q1 2026, with growth of 34.5%; the weakest was Q4 2022, with a decline of 18.3%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $9.55 million (Q1 2026), $7.63 million (Q4 2025) and $7.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | - |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | - |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | -700.23 Mn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | - |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | - |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | -138.39 Mn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 131.02 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | -1.00 Mn |
| 10 | Innodata | 1.24 Bn | 623.11 Mn | 35.54 Mn | 28,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28,000.00 |
| 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 |
API Access
Innodata Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();