Innodata (INOD) Accumulated Expenses (2010 - 2026)
Innodata (INOD) reported Accumulated Expenses of $36.35 million for Q2 2026, up 606.6% from $5.14 million a year earlier and up 33.7% from the prior quarter.
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Analysis
Innodata (INOD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Innodata posted Accumulated Expenses of $7.8 million, up 59.5% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $4.89 million in FY2024 (+59.8%), $3.06 million in FY2023 (-57.8%), $7.25 million in FY2022 (-4.2%) and $7.56 million in FY2021 (+116.7%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 165.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2026 (growth of 606.6%); the low point was Q4 2023 (a decline of 57.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.18 million (Q1 2026), $7.8 million (Q4 2025) and $12.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn |
| 10 | Innodata | 1.98 Bn | 1.45 Bn | 42.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.35 Mn |
| Mar 31, 2026 | 27.18 Mn |
| Dec 31, 2025 | 7.80 Mn |
| Sep 30, 2025 | 12.30 Mn |
| Jun 30, 2025 | 5.14 Mn |
| Mar 31, 2025 | 5.73 Mn |
| Dec 31, 2024 | 4.89 Mn |
| Sep 30, 2024 | 4.20 Mn |
| Jun 30, 2024 | 5.35 Mn |
| Mar 31, 2024 | 3.19 Mn |
| Dec 31, 2023 | 3.06 Mn |
| Sep 30, 2023 | 8.12 Mn |
| Jun 30, 2023 | 5.22 Mn |
| Mar 31, 2023 | 6.84 Mn |
| Dec 31, 2022 | 7.25 Mn |
| Sep 30, 2022 | 6.74 Mn |
| Jun 30, 2022 | 6.21 Mn |
| Mar 31, 2022 | 7.23 Mn |
| Dec 31, 2021 | 7.56 Mn |
| Sep 30, 2021 | 6.24 Mn |
API Access
Innodata Accumulated Expenses 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=accumulated-expenses&ticker=INOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();