Genpact (G) Cost of Revenue (2009 - 2026)
Genpact's Cost of Revenue came in at $853.1 million for Q2 2026, up 6.1% from $804.35 million a year earlier and up 3.5% from the prior quarter.
Genpact (G) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genpact reported Cost of Revenue of $3.34 billion, up 5.1% year-over-year; for FY2025, it came in at $3.25 billion, up 5.6% from FY2024.
- Cost of Revenue has increased in each of the last 16 years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $3.08 billion in FY2024 (+5.9%), $2.91 billion in FY2023 (+2.5%), $2.83 billion in FY2022 (+9.4%) and $2.59 billion in FY2021 (+7.1%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2009.
- Year-over-year, Cost of Revenue has increased for 21 consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 0.2% in Q2 2023 to 14.5% in Q4 2021.
- Business Quant data shows G's Cost of Revenue at $824.4 million (Q1 2026), $836.98 million (Q4 2025) and $821.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 12.58 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 1.46 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 958.61 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 1.55 Bn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 508.63 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 399.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.63 Bn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 486.91 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Genpact | 6.37 Bn | 2.98 Bn | 490.34 Mn | 853.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 853.10 Mn |
| Mar 31, 2026 | 824.40 Mn |
| Dec 31, 2025 | 836.98 Mn |
| Sep 30, 2025 | 821.60 Mn |
| Jun 30, 2025 | 804.35 Mn |
| Mar 31, 2025 | 785.93 Mn |
| Dec 31, 2024 | 802.97 Mn |
| Sep 30, 2024 | 779.51 Mn |
| Jun 30, 2024 | 759.83 Mn |
| Mar 31, 2024 | 734.76 Mn |
| Dec 31, 2023 | 738.70 Mn |
| Sep 30, 2023 | 732.96 Mn |
| Jun 30, 2023 | 715.48 Mn |
| Mar 31, 2023 | 719.08 Mn |
| Dec 31, 2022 | 717.34 Mn |
| Sep 30, 2022 | 717.22 Mn |
| Jun 30, 2022 | 714.26 Mn |
| Mar 31, 2022 | 685.96 Mn |
| Dec 31, 2021 | 702.66 Mn |
| Sep 30, 2021 | 653.69 Mn |
Genpact Cost of Revenue 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=cost-of-revenue&ticker=G&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();