Innodata (INOD) Change in Receivables (2010 - 2026)
Innodata (INOD) posted Change in Receivables of $1.59 million for Q2 2026, down 63.6% from $4.36 million a year earlier.
Innodata (INOD) Change in Receivables (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Innodata was $13.86 million, down 14.2% year-over-year; for FY2025, it came in at $18.35 million, up 27.3% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of 107.2% (FY2020 to FY2025).
- In prior years, Innodata's Change in Receivables was $14.41 million in FY2024 (+181.7%), $5.12 million in FY2023, -$1.3 million in FY2022 and $1.87 million in FY2021 (+289.2%).
- Quarterly Change in Receivables has run from a low of -$1.42 million in Q3 2022 to a high of $7.18 million in Q4 2025 over five years.
- On a year-over-year basis, Change in Receivables increased in five of the last six quarters, with growth averaging 20.4%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q4 2023, with growth of 912.4%; the weakest was Q4 2022, with a decline of 83.2%.
- According to Business Quant data, Change in Receivables for the three prior quarters was -$360,000 (Q1 2026), $7.18 million (Q4 2025) and $5.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 88.00 Mn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 131.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 49.11 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 883.90 Mn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 1.99 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 2.06 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 1.40 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | - |
| 10 | Innodata | 2.02 Bn | 1.50 Bn | 42.46 Mn | 1.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59 Mn |
| Mar 31, 2026 | -360,000.00 |
| Dec 31, 2025 | 7.18 Mn |
| Sep 30, 2025 | 5.45 Mn |
| Jun 30, 2025 | 4.36 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 5.58 Mn |
| Sep 30, 2024 | 4.86 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | -137,000.00 |
| Dec 31, 2023 | 3.92 Mn |
| Sep 30, 2023 | 2.47 Mn |
| Jun 30, 2023 | -121,000.00 |
| Mar 31, 2023 | -1.15 Mn |
| Dec 31, 2022 | 387,000.00 |
| Sep 30, 2022 | -1.42 Mn |
| Jun 30, 2022 | 213,000.00 |
| Mar 31, 2022 | -487,000.00 |
| Dec 31, 2021 | 2.30 Mn |
| Sep 30, 2021 | -571,000.00 |
Innodata Change in 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=change-in-receivables&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();