Innodata (INOD) Total Liabilities (2010 - 2026)
Innodata (INOD) posted Total Liabilities of $197.1 million for Q2 2026, up 139.74% on a QoQ basis from $82.2 million in Q1 2026, and up 328.74% year-over-year from $46.0 million in Q2 2025.
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Analysis
Innodata (INOD) Total Liabilities (2010 - 2026) Analysis & Trends
Innodata has reported Total Liabilities for 17 years, with the latest figure at $197.1 million in Q2 2026.
- On a quarterly basis, Total Liabilities rose 328.74% year-over-year to $197.1 million in Q2 2026; TTM through Jun 2026 was $197.1 million, a 328.74% increase from a year earlier, with the FY2025 full-year figure at $61.5 million, up 22.91% from the prior year.
- Total Liabilities was $197.1 million for Q2 2026 at Innodata, up from $82.2 million in the prior quarter.
- The five-year high for Total Liabilities was $197.1 million in Q2 2026, with the low at $29.6 million in Q2 2022.
- Average Total Liabilities over 5 years is $50.6 million, with a median of $37.2 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2026: Total Liabilities decreased 10.02% in 2022, then soared 328.74% in 2026.
- Over 5 years, Total Liabilities stood at $30.0 million in 2022, then climbed by 14.8% to $34.4 million in 2023, then soared by 45.37% to $50.1 million in 2024, then advanced by 22.91% to $61.5 million in 2025, then jumped by 220.39% to $197.1 million in 2026.
- The last three Total Liabilities figures came in at $197.1 million (Q2 2026), $82.2 million (Q1 2026), and $61.5 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 2.74 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 1.05 Bn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 3.99 Bn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 881.65 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 10.86 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 197.14 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 1.85 Bn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 9.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.14 Mn |
| Mar 31, 2026 | 82.23 Mn |
| Dec 31, 2025 | 61.53 Mn |
| Sep 30, 2025 | 55.68 Mn |
| Jun 30, 2025 | 45.98 Mn |
| Mar 31, 2025 | 49.81 Mn |
| Dec 31, 2024 | 50.06 Mn |
| Sep 30, 2024 | 41.16 Mn |
| Jun 30, 2024 | 37.70 Mn |
| Mar 31, 2024 | 36.72 Mn |
| Dec 31, 2023 | 34.44 Mn |
| Sep 30, 2023 | 34.28 Mn |
| Jun 30, 2023 | 31.68 Mn |
| Mar 31, 2023 | 31.44 Mn |
| Dec 31, 2022 | 30.00 Mn |
| Sep 30, 2022 | 30.76 Mn |
| Jun 30, 2022 | 29.63 Mn |
| Mar 31, 2022 | 30.89 Mn |
| Dec 31, 2021 | 32.81 Mn |
| Sep 30, 2021 | 31.56 Mn |
API Access
Innodata Total Liabilities 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-liabilities&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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-liabilities&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();