Genpact (G) EBITDA (2009 - 2026)
Genpact's EBITDA was $213.5 million in Q2 2026, up 6.3% from $200.92 million a year earlier but down 2.7% from the prior quarter.
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Analysis
Genpact (G) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Genpact's EBITDA was $872.26 million through Jun 30, 2026, up 5.6% year-over-year; for FY2025, it was $845.17 million, up 5.9% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $798.32 million in FY2024 (+8.6%), $734.85 million in FY2023 (+16.3%), $631.67 million in FY2022 (-6.6%) and $676.57 million in FY2021 (+13.0%).
- Quarterly EBITDA has moved between $143.6 million (Q2 2022) and $221.49 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 7.4% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 27.9%); the worst was Q2 2022 (a decline of 19.5%).
- Per Business Quant data, G's EBITDA in the three quarters before Q2 2026 was $219.43 million (Q1 2026), $221.49 million (Q4 2025) and $217.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Genpact | 6.37 Bn | 2.98 Bn | 490.34 Mn | 214.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 214.14 Mn |
| Mar 31, 2026 | 220.20 Mn |
| Dec 31, 2025 | 222.16 Mn |
| Sep 30, 2025 | 218.40 Mn |
| Jun 30, 2025 | 201.47 Mn |
| Mar 31, 2025 | 205.46 Mn |
| Dec 31, 2024 | 215.28 Mn |
| Sep 30, 2024 | 206.15 Mn |
| Jun 30, 2024 | 194.62 Mn |
| Mar 31, 2024 | 184.68 Mn |
| Dec 31, 2023 | 188.80 Mn |
| Sep 30, 2023 | 191.25 Mn |
| Jun 30, 2023 | 184.16 Mn |
| Mar 31, 2023 | 172.61 Mn |
| Dec 31, 2022 | 156.84 Mn |
| Sep 30, 2022 | 162.31 Mn |
| Jun 30, 2022 | 144.17 Mn |
| Mar 31, 2022 | 170.72 Mn |
| Dec 31, 2021 | 153.24 Mn |
| Sep 30, 2021 | 173.42 Mn |
API Access
Genpact EBITDA 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=ebitda&ticker=G&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();