Genpact (G) Operating Expenses (2009 - 2026)
Genpact (G) recorded Operating Expenses of $294.13 million in Q2 2026, up 10.4% from $266.39 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Genpact (G) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Genpact's Operating Expenses came in at $1.1 billion as of Jun 30, 2026, up 10.4% year-over-year; for FY2025, it was $1.05 billion, up 8.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $967.15 million in FY2024 (+5.9%), $913.06 million in FY2023 (-2.7%), $938.39 million in FY2022 (+8.4%) and $865.72 million in FY2021 (+9.4%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 8.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 33.9% in Q4 2021, against a decline of 8.8% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $270.34 million (Q1 2026), $277.13 million (Q4 2025) and $262.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Genpact | 6.37 Bn | 2.98 Bn | 490.34 Mn | 294.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.13 Mn |
| Mar 31, 2026 | 270.34 Mn |
| Dec 31, 2025 | 277.13 Mn |
| Sep 30, 2025 | 262.11 Mn |
| Jun 30, 2025 | 266.39 Mn |
| Mar 31, 2025 | 241.08 Mn |
| Dec 31, 2024 | 249.16 Mn |
| Sep 30, 2024 | 243.32 Mn |
| Jun 30, 2024 | 239.64 Mn |
| Mar 31, 2024 | 235.03 Mn |
| Dec 31, 2023 | 237.42 Mn |
| Sep 30, 2023 | 229.73 Mn |
| Jun 30, 2023 | 229.43 Mn |
| Mar 31, 2023 | 216.49 Mn |
| Dec 31, 2022 | 236.56 Mn |
| Sep 30, 2022 | 231.44 Mn |
| Jun 30, 2022 | 233.10 Mn |
| Mar 31, 2022 | 237.30 Mn |
| Dec 31, 2021 | 244.86 Mn |
| Sep 30, 2021 | 215.96 Mn |
API Access
Genpact Operating 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=operating-expenses&ticker=G&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();