Etsy (ETSY) Operating Expenses (2014 - 2026)
Etsy's Operating Expenses came in at $358.78 million for Q2 2026, down 2.1% from $366.41 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Etsy (ETSY) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Etsy reported Operating Expenses of $1.61 billion, down 4.4% year-over-year; for FY2025, it was $1.8 billion, up 8.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 16.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.65 billion in FY2024 (+0.8%), $1.64 billion in FY2023 (-33.9%), $2.48 billion in FY2022 (+105.2%) and $1.21 billion in FY2021 (+44.5%).
- The five-year range for quarterly Operating Expenses is $295.03 million (Q3 2021) to $1.37 billion (Q3 2022).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 366.0%), and the weakest in Q3 2023 (a decline of 73.9%).
- Business Quant data shows ETSY's Operating Expenses at $335.75 million (Q1 2026), $514.69 million (Q4 2025) and $400.67 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Etsy | 8.03 Bn | 2.39 Bn | 484.05 Mn | 358.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.78 Mn |
| Mar 31, 2026 | 335.75 Mn |
| Dec 31, 2025 | 514.69 Mn |
| Sep 30, 2025 | 400.67 Mn |
| Jun 30, 2025 | 366.41 Mn |
| Mar 31, 2025 | 448.28 Mn |
| Dec 31, 2024 | 479.34 Mn |
| Sep 30, 2024 | 389.95 Mn |
| Jun 30, 2024 | 393.55 Mn |
| Mar 31, 2024 | 390.73 Mn |
| Dec 31, 2023 | 471.11 Mn |
| Sep 30, 2023 | 358.92 Mn |
| Jun 30, 2023 | 442.61 Mn |
| Mar 31, 2023 | 367.23 Mn |
| Dec 31, 2022 | 442.12 Mn |
| Sep 30, 2022 | 1.37 Bn |
| Jun 30, 2022 | 341.15 Mn |
| Mar 31, 2022 | 321.96 Mn |
| Dec 31, 2021 | 365.92 Mn |
| Sep 30, 2021 | 295.03 Mn |
API Access
Etsy 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=ETSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ETSY", "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=ETSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();