Groupon (GRPN) Operating Expenses (2011 - 2026)
Groupon (GRPN) recorded Operating Expenses of $114.11 million in Q2 2026, up 12.6% from $101.37 million a year earlier and up 4.3% from the prior quarter.
Powered by 
Analysis
Groupon (GRPN) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, Groupon's Operating Expenses came in at $446.59 million as of Jun 30, 2026, up 3.9% year-over-year; for FY2025, it came in at $428.9 million, down 1.5% from FY2024.
- Annual Operating Expenses has declined for nine straight years, with a five-year compound annual growth rate of -14.8% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $435.51 million in FY2024 (-7.1%), $468.92 million in FY2023 (-32.1%), $690.64 million in FY2022 (-6.9%) and $741.77 million in FY2021 (-22.3%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 2.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 13.4% in Q4 2021, against a decline of 41.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $109.37 million (Q1 2026), $113.47 million (Q4 2025) and $109.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Groupon | 800.52 Mn | -185.66 Mn | 113.39 Mn | 114.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.11 Mn |
| Mar 31, 2026 | 109.37 Mn |
| Dec 31, 2025 | 113.47 Mn |
| Sep 30, 2025 | 109.64 Mn |
| Jun 30, 2025 | 101.37 Mn |
| Mar 31, 2025 | 104.41 Mn |
| Dec 31, 2024 | 115.54 Mn |
| Sep 30, 2024 | 108.48 Mn |
| Jun 30, 2024 | 108.31 Mn |
| Mar 31, 2024 | 103.19 Mn |
| Dec 31, 2023 | 104.66 Mn |
| Sep 30, 2023 | 111.14 Mn |
| Jun 30, 2023 | 117.84 Mn |
| Mar 31, 2023 | 135.28 Mn |
| Dec 31, 2022 | 161.96 Mn |
| Sep 30, 2022 | 162.05 Mn |
| Jun 30, 2022 | 200.48 Mn |
| Mar 31, 2022 | 166.15 Mn |
| Dec 31, 2021 | 192.47 Mn |
| Sep 30, 2021 | 185.14 Mn |
API Access
Groupon 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=GRPN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GRPN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();