Innodata (INOD) Selling, General & Administrative (2010 - 2026)
Innodata (INOD) posted Selling, General & Administrative of $26.6 million for Q2 2026, up 88.5% from $14.11 million a year earlier and up 16.2% from the prior quarter.
Innodata (INOD) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Innodata was $80.01 million, up 46.8% year-over-year; for FY2025, it came in at $59.61 million, up 39.5% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In prior years, Innodata's Selling, General & Administrative was $42.74 million in FY2024 (+38.0%), $30.98 million in FY2023 (-18.4%), $37.94 million in FY2022 (+35.9%) and $27.91 million in FY2021 (+49.6%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q2 2010.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last ten quarters, with growth averaging 56.0% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2024, with growth of 89.0%; the weakest was Q2 2023, with a decline of 26.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $22.89 million (Q1 2026), $16.77 million (Q4 2025) and $13.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | -154.00 Mn |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 782.54 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | - |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 688.14 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 547.51 Mn |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Innodata | 2.00 Bn | 1.47 Bn | 42.46 Mn | 26.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.60 Mn |
| Mar 31, 2026 | 22.89 Mn |
| Dec 31, 2025 | 16.77 Mn |
| Sep 30, 2025 | 13.75 Mn |
| Jun 30, 2025 | 14.11 Mn |
| Mar 31, 2025 | 14.98 Mn |
| Dec 31, 2024 | 15.50 Mn |
| Sep 30, 2024 | 9.91 Mn |
| Jun 30, 2024 | 9.02 Mn |
| Mar 31, 2024 | 8.31 Mn |
| Dec 31, 2023 | 8.20 Mn |
| Sep 30, 2023 | 7.40 Mn |
| Jun 30, 2023 | 7.57 Mn |
| Mar 31, 2023 | 7.80 Mn |
| Dec 31, 2022 | 8.36 Mn |
| Sep 30, 2022 | 9.12 Mn |
| Jun 30, 2022 | 10.28 Mn |
| Mar 31, 2022 | 10.19 Mn |
| Dec 31, 2021 | 8.15 Mn |
| Sep 30, 2021 | 7.26 Mn |
Innodata Selling, General & Administrative 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=selling-general-and-administrative&ticker=INOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=INOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();