Innodata (INOD) Receivables (2010 - 2026)
Innodata's Receivables came in at $47.56 million for Q2 2026, up 39.4% from $34.12 million a year earlier and up 3.5% from the prior quarter.
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Analysis
Innodata (INOD) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Innodata's Receivables was $46.51 million, up 66.0% from FY2024.
- Receivables has increased in each of the last three years, with a five-year compound annual growth rate of 35.9% (FY2020 to FY2025).
- Going back by year, Receivables was $28.01 million in FY2024 (+96.1%), $14.29 million in FY2023 (+50.0%), $9.53 million in FY2022 (-16.3%) and $11.38 million in FY2021 (+13.2%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2010.
- Year-over-year, Receivables has increased for 12 consecutive quarters, with growth averaging 80.3% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q2 2024 (growth of 117.3%), and the weakest in Q2 2023 (a decline of 23.7%).
- Business Quant data shows INOD's Receivables at $45.94 million (Q1 2026), $46.51 million (Q4 2025) and $39.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | 42.20 Bn | - | 3.72 Bn |
| 2 | Cognizant Technology Solutions | 28.52 Bn | 22.49 Bn | 1.91 Bn | 4.85 Bn |
| 3 | Cdw | 20.95 Bn | 17.85 Bn | 1.39 Bn | 11.19 Bn |
| 4 | Td Synnex | 18.62 Bn | 12.78 Bn | 1.43 Bn | 14.95 Bn |
| 5 | Arrow Electronics | 10.10 Bn | 9.05 Bn | 1.13 Bn | 28.01 Bn |
| 6 | EPAM Systems | 7.92 Bn | 3.84 Bn | 445.94 Mn | 1.21 Bn |
| 7 | Avnet | 7.12 Bn | 6.30 Bn | 865.03 Mn | 6.88 Bn |
| 8 | ExlService Holdings | 6.52 Bn | 5.32 Bn | 241.14 Mn | 645.78 Mn |
| 9 | Science Applications International | 6.35 Bn | 5.89 Bn | 239.00 Mn | 996.00 Mn |
| 10 | Innodata | 1.24 Bn | 623.11 Mn | 35.54 Mn | 44.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.40 Mn |
| Jun 30, 2026 | 47.56 Mn |
| Mar 31, 2026 | 45.94 Mn |
| Dec 31, 2025 | 46.51 Mn |
| Sep 30, 2025 | 39.44 Mn |
| Jun 30, 2025 | 34.12 Mn |
| Mar 31, 2025 | 29.58 Mn |
| Dec 31, 2024 | 28.01 Mn |
| Sep 30, 2024 | 23.19 Mn |
| Jun 30, 2024 | 18.16 Mn |
| Mar 31, 2024 | 14.06 Mn |
| Dec 31, 2023 | 14.29 Mn |
| Sep 30, 2023 | 10.68 Mn |
| Jun 30, 2023 | 8.36 Mn |
| Mar 31, 2023 | 8.46 Mn |
| Dec 31, 2022 | 9.53 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 |
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();