Genpact (G) Change in Accured Expenses (2009 - 2026)
Genpact's Change in Accured Expenses came in at $92.87 million for Q2 2026, up 21.2% from $76.63 million a year earlier.
Genpact (G) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Genpact reported Change in Accured Expenses of $237.92 million, up 188.1% year-over-year; for FY2025, it came in at $230.25 million, up 263.5% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 21.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $63.34 million in FY2024, $1.86 million in FY2023, -$54.33 million in FY2022 and -$2.06 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$179.19 million (Q1 2022) to $157.21 million (Q4 2025).
- Year-over-year, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 46.7%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 181.8%), and the weakest in Q3 2021 (a decline of 63.5%).
- Business Quant data shows G's Change in Accured Expenses at -$148.81 million (Q1 2026), $157.21 million (Q4 2025) and $136.64 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | - |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 81.49 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 83.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | -6.96 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Genpact | 6.37 Bn | 2.98 Bn | 490.34 Mn | 92.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.87 Mn |
| Mar 31, 2026 | -148.81 Mn |
| Dec 31, 2025 | 157.21 Mn |
| Sep 30, 2025 | 136.64 Mn |
| Jun 30, 2025 | 76.63 Mn |
| Mar 31, 2025 | -140.24 Mn |
| Dec 31, 2024 | 68.40 Mn |
| Sep 30, 2024 | 77.79 Mn |
| Jun 30, 2024 | 48.28 Mn |
| Mar 31, 2024 | -131.13 Mn |
| Dec 31, 2023 | 82.56 Mn |
| Sep 30, 2023 | 69.39 Mn |
| Jun 30, 2023 | 17.13 Mn |
| Mar 31, 2023 | -167.22 Mn |
| Dec 31, 2022 | 78.20 Mn |
| Sep 30, 2022 | 38.88 Mn |
| Jun 30, 2022 | 7.78 Mn |
| Mar 31, 2022 | -179.19 Mn |
| Dec 31, 2021 | 72.03 Mn |
| Sep 30, 2021 | 28.19 Mn |
Genpact Change in Accured 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=change-in-accured-expenses&ticker=G&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();