Genpact (G) Interest Expenses (2010 - 2021)
Genpact's Interest Expenses came in at $13.51 million for Q1 2021, down 3.3% from $13.97 million a year earlier but up 4.4% from the prior quarter.
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Analysis
Genpact (G) Interest Expenses (2010 - 2021) Analysis & Trends
Over the trailing twelve months to Mar 31, 2021, Genpact reported Interest Expenses of $55.79 million, up 7.6% year-over-year; for FY2020, it was $56.24 million, up 10.8% from FY2019.
- Interest Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 13.5% (FY2015 to FY2020).
- Going back by year, Interest Expenses was $50.78 million in FY2019 (+4.7%), $48.51 million in FY2018 (+21.5%), $39.92 million in FY2017 (+70.4%) and $23.43 million in FY2016 (-21.4%).
- The five-year range for quarterly Interest Expenses is $5.59 million (Q2 2016) to $14.75 million (Q2 2020).
- Year-over-year, Interest Expenses increased in six of the last eight quarters, with growth averaging 5.9%.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2017 (growth of 91.5%), and the weakest in Q2 2016 (a decline of 39.5%).
- Business Quant data shows G's Interest Expenses at $12.94 million (Q4 2020), $14.59 million (Q3 2020) and $14.75 million (Q2 2020) in the three quarters before Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 24.71 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | - |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 9.39 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 5.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | - |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Genpact | 6.37 Bn | 2.98 Bn | 490.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 13.51 Mn |
| Dec 31, 2020 | 12.94 Mn |
| Sep 30, 2020 | 14.59 Mn |
| Jun 30, 2020 | 14.75 Mn |
| Mar 31, 2020 | 13.97 Mn |
| Dec 31, 2019 | 12.53 Mn |
| Sep 30, 2019 | 12.19 Mn |
| Jun 30, 2019 | 13.17 Mn |
| Mar 31, 2019 | 12.89 Mn |
| Dec 31, 2018 | 12.39 Mn |
| Sep 30, 2018 | 12.47 Mn |
| Jun 30, 2018 | 12.18 Mn |
| Mar 31, 2018 | 11.47 Mn |
| Dec 31, 2017 | 11.31 Mn |
| Sep 30, 2017 | 11.27 Mn |
| Jun 30, 2017 | 10.71 Mn |
| Mar 31, 2017 | 6.62 Mn |
| Dec 31, 2016 | 6.69 Mn |
| Sep 30, 2016 | 5.94 Mn |
| Jun 30, 2016 | 5.59 Mn |
API Access
Genpact Interest 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=interest-expenses&ticker=G&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=G&period=max&api_key=YOUR_API_KEY");
const data = await res.json();