Genpact (G) Amortization - Intangibles (2009 - 2026)
Genpact (G) posted Amortization - Intangibles of $3.3 million for Q2 2026, up 5.62% on a QoQ basis from $3.1 million in Q1 2026, and down 23.86% year-over-year from $4.3 million in Q2 2025.
Genpact (G) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Genpact has reported Amortization - Intangibles for 18 years, with the latest figure at $3.3 million in Q2 2026.
- On a quarterly basis, Amortization - Intangibles fell 23.86% year-over-year to $3.3 million in Q2 2026; TTM through Jun 2026 was $22.1 million, a 1.97% increase from a year earlier, with the FY2025 full-year figure at $24.3 million, down 8.25% from the prior year.
- Amortization - Intangibles was $3.3 million for Q2 2026 at Genpact, up from $3.1 million in the prior quarter.
- The five-year high for Amortization - Intangibles was $11.3 million in Q1 2022, with the low at $3.1 million in Q1 2026.
- Average Amortization - Intangibles over 5 years is $7.3 million, with a median of $7.4 million recorded in 2023.
- The largest YoY upside for Amortization - Intangibles was 27.56% in 2025 against a maximum downside of 37.64% in 2025.
- Over 5 years, Amortization - Intangibles stood at $9.9 million in 2022, then decreased by 24.42% to $7.5 million in 2023, then slipped by 12.85% to $6.5 million in 2024, then advanced by 13.45% to $7.4 million in 2025, then sank by 55.4% to $3.3 million in 2026.
- The last three Amortization - Intangibles figures came in at $3.3 million (Q2 2026), $3.1 million (Q1 2026), and $7.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 124.23 Bn | 115.18 Bn | 6.13 Bn |
| 2 | UL Solutions | 13.40 Bn | 13.00 Bn | 417.00 Mn |
| 3 | Gartner | 11.57 Bn | 10.08 Bn | 1.19 Bn |
| 4 | Booz Allen Hamilton Holding | 9.30 Bn | 8.76 Bn | 1.46 Bn |
| 5 | Tetra Tech | 9.21 Bn | 8.98 Bn | 243.21 Mn |
| 6 | Genpact | 5.73 Bn | 5.21 Bn | 490.34 Mn |
| 7 | Grand Canyon Education | 3.95 Bn | 3.68 Bn | 204.08 Mn |
| 8 | Fti Consulting | 3.90 Bn | 3.73 Bn | 316.27 Mn |
| 9 | Korn Ferry | 3.90 Bn | 3.09 Bn | 681.29 Mn |
| 10 | Exponent | 3.19 Bn | 3.12 Bn | 158.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Mar 31, 2026 | 3.11 Mn |
| Dec 31, 2025 | 7.37 Mn |
| Sep 30, 2025 | 8.29 Mn |
| Jun 30, 2025 | 4.32 Mn |
| Mar 31, 2025 | 4.32 Mn |
| Dec 31, 2024 | 6.50 Mn |
| Sep 30, 2024 | 6.50 Mn |
| Jun 30, 2024 | 6.56 Mn |
| Mar 31, 2024 | 6.93 Mn |
| Dec 31, 2023 | 7.45 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 8.26 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 9.86 Mn |
| Sep 30, 2022 | 10.60 Mn |
| Jun 30, 2022 | 10.90 Mn |
| Mar 31, 2022 | 11.31 Mn |
| Dec 31, 2021 | 13.82 Mn |
| Sep 30, 2021 | 13.90 Mn |
Genpact Amortization - Intangibles 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=amortization-intangibles&ticker=G&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "G", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();