Innodata (INOD) Receivables (2010 - 2026)
Innodata (INOD) posted Receivables of $49.5 million for Q2 2026, up 1.08% on a QoQ basis from $49.0 million in Q1 2026, and up 38.71% year-over-year from $35.7 million in Q2 2025.
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Analysis
Innodata (INOD) Receivables (2010 - 2026) Analysis & Trends
Innodata has reported Receivables for 17 years, with the latest figure at $49.5 million in Q2 2026.
- On a quarterly basis, Receivables rose 38.71% year-over-year to $49.5 million in Q2 2026; TTM through Jun 2026 was $49.5 million, a 38.71% increase from a year earlier, with the FY2025 full-year figure at $48.6 million, up 63.26% from the prior year.
- Receivables was $49.5 million for Q2 2026 at Innodata, up from $49.0 million in the prior quarter.
- The five-year high for Receivables was $49.5 million in Q2 2026, with the low at $9.4 million in Q3 2022.
- Average Receivables over 5 years is $24.1 million, with a median of $17.6 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2024: Receivables retreated 12.57% in 2023, then jumped 107.32% in 2024.
- Over 5 years, Receivables stood at $10.7 million in 2022, then surged by 44.35% to $15.5 million in 2023, then jumped by 92.02% to $29.8 million in 2024, then soared by 63.26% to $48.6 million in 2025, then rose by 1.82% to $49.5 million in 2026.
- The last three Receivables figures came in at $49.5 million (Q2 2026), $49.0 million (Q1 2026), and $48.6 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 1.14 Bn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 1.27 Bn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 996.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 629.99 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 1.72 Bn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 49.49 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn | 947.33 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 Mn | 2.89 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.49 Mn |
| Mar 31, 2026 | 48.97 Mn |
| Dec 31, 2025 | 48.61 Mn |
| Sep 30, 2025 | 41.64 Mn |
| Jun 30, 2025 | 35.68 Mn |
| Mar 31, 2025 | 31.42 Mn |
| Dec 31, 2024 | 29.77 Mn |
| Sep 30, 2024 | 24.67 Mn |
| Jun 30, 2024 | 19.60 Mn |
| Mar 31, 2024 | 15.29 Mn |
| Dec 31, 2023 | 15.51 Mn |
| Sep 30, 2023 | 11.90 Mn |
| Jun 30, 2023 | 9.58 Mn |
| Mar 31, 2023 | 9.63 Mn |
| Dec 31, 2022 | 10.74 Mn |
| Sep 30, 2022 | 9.37 Mn |
| Jun 30, 2022 | 10.96 Mn |
| Mar 31, 2022 | 10.90 Mn |
| Dec 31, 2021 | 11.38 Mn |
| Sep 30, 2021 | 9.02 Mn |
API Access
Innodata Receivables 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=receivables&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();