Groupon (GRPN) Other Operating Expenses (2011 - 2026)
Groupon (GRPN) reported Other Operating Expenses of $43.27 million for Q2 2026, up 40.7% from $30.75 million a year earlier and up 19.1% from the prior quarter.
Groupon (GRPN) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Groupon's Other Operating Expenses came in at $169.62 million, up 17.7% year-over-year; for FY2025, it came in at $155.21 million, up 11.6% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of -11.5% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $139.05 million in FY2024 (+25.8%), $110.51 million in FY2023 (-43.9%), $196.91 million in FY2022 (+4.3%) and $188.78 million in FY2021 (-34.1%).
- Five-year quarterly Other Operating Expenses spans a low of $22.27 million in Q2 2023 and a high of $73.61 million in Q2 2022.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 17.6% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2021 (growth of 69.4%); the low point was Q2 2023 (a decline of 69.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.33 million (Q1 2026), $48.58 million (Q4 2025) and $41.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Groupon | 801.33 Mn | -184.85 Mn | 113.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.27 Mn |
| Mar 31, 2026 | 36.33 Mn |
| Dec 31, 2025 | 48.58 Mn |
| Sep 30, 2025 | 41.44 Mn |
| Jun 30, 2025 | 30.75 Mn |
| Mar 31, 2025 | 34.44 Mn |
| Dec 31, 2024 | 42.62 Mn |
| Sep 30, 2024 | 36.26 Mn |
| Jun 30, 2024 | 31.48 Mn |
| Mar 31, 2024 | 28.81 Mn |
| Dec 31, 2023 | 34.49 Mn |
| Sep 30, 2023 | 28.90 Mn |
| Jun 30, 2023 | 22.27 Mn |
| Mar 31, 2023 | 24.85 Mn |
| Dec 31, 2022 | 45.99 Mn |
| Sep 30, 2022 | 37.90 Mn |
| Jun 30, 2022 | 73.61 Mn |
| Mar 31, 2022 | 39.42 Mn |
| Dec 31, 2021 | 58.24 Mn |
| Sep 30, 2021 | 53.16 Mn |
Groupon Other 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=other-operating-expenses&ticker=GRPN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GRPN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GRPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();