Innodata (INOD) Operating Leases (2019 - 2026)
Innodata (INOD) posted Operating Leases of $2.5 million for Q2 2026, down 11.2% on a QoQ basis from $2.9 million in Q1 2026, and down 22.76% year-over-year from $3.3 million in Q2 2025.
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Analysis
Innodata (INOD) Operating Leases (2019 - 2026) Analysis & Trends
Innodata has reported Operating Leases for 8 years, with the latest figure at $2.5 million in Q2 2026.
- On a quarterly basis, Operating Leases fell 22.76% year-over-year to $2.5 million in Q2 2026; TTM through Jun 2026 was $2.5 million, a 22.76% decrease from a year earlier, with the FY2025 full-year figure at $3.2 million, down 14.56% from the prior year.
- Operating Leases was $2.5 million for Q2 2026 at Innodata, down from $2.9 million in the prior quarter.
- The five-year high for Operating Leases was $4.9 million in Q3 2023, with the low at $2.5 million in Q2 2026.
- Average Operating Leases over 5 years is $3.8 million, with a median of $3.9 million recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Operating Leases slipped 29.49% in 2022, then rose 23.99% in 2023.
- Over 5 years, Operating Leases stood at $4.0 million in 2022, then grew by 16.48% to $4.7 million in 2023, then fell by 19.63% to $3.8 million in 2024, then retreated by 14.56% to $3.2 million in 2025, then fell by 21.16% to $2.5 million in 2026.
- The last three Operating Leases figures came in at $2.5 million (Q2 2026), $2.9 million (Q1 2026), and $3.2 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.55 Mn |
| Mar 31, 2026 | 2.87 Mn |
| Dec 31, 2025 | 3.23 Mn |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | 3.30 Mn |
| Mar 31, 2025 | 3.54 Mn |
| Dec 31, 2024 | 3.78 Mn |
| Sep 30, 2024 | 4.03 Mn |
| Jun 30, 2024 | 4.25 Mn |
| Mar 31, 2024 | 4.47 Mn |
| Dec 31, 2023 | 4.70 Mn |
| Sep 30, 2023 | 4.87 Mn |
| Jun 30, 2023 | 3.83 Mn |
| Mar 31, 2023 | 3.93 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 3.93 Mn |
| Jun 30, 2022 | 4.09 Mn |
| Mar 31, 2022 | 4.29 Mn |
| Dec 31, 2021 | 5.28 Mn |
| Sep 30, 2021 | 5.51 Mn |
API Access
Innodata Operating Leases 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=operating-leases&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();