Etsy (ETSY) Accumulated Expenses (2014 - 2026)
Etsy's Accumulated Expenses was $288.22 million in Q3 2026, down 6.8% from $309.35 million a year earlier but up 16.3% from the prior quarter.
Analysis
Etsy (ETSY) Accumulated Expenses (2014 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Etsy came in at $342.2 million, down 8.7% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $374.95 million in FY2024 (+6.1%), $353.55 million in FY2023 (+6.7%), $331.23 million in FY2022 (+0.9%) and $328.12 million in FY2021 (+41.2%).
- Quarterly Accumulated Expenses has moved between $218.03 million (Q2 2022) and $374.95 million (Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with an average decline of 1.3% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 41.2%); the worst was Q4 2025 (a decline of 8.7%).
- Per Business Quant data, ETSY's Accumulated Expenses in the three quarters before Q3 2026 was $247.81 million (Q2 2026), $260.6 million (Q1 2026) and $342.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | Etsy | 8.21 Bn | 1.77 Bn | 503.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 288.22 Mn |
| Jun 30, 2026 | 247.81 Mn |
| Mar 31, 2026 | 260.60 Mn |
| Dec 31, 2025 | 342.20 Mn |
| Sep 30, 2025 | 309.35 Mn |
| Jun 30, 2025 | 254.20 Mn |
| Mar 31, 2025 | 264.21 Mn |
| Dec 31, 2024 | 374.95 Mn |
| Sep 30, 2024 | 299.00 Mn |
| Jun 30, 2024 | 256.82 Mn |
| Mar 31, 2024 | 262.52 Mn |
| Dec 31, 2023 | 353.55 Mn |
| Sep 30, 2023 | 271.97 Mn |
| Jun 30, 2023 | 231.67 Mn |
| Mar 31, 2023 | 240.03 Mn |
| Dec 31, 2022 | 331.23 Mn |
| Sep 30, 2022 | 249.96 Mn |
| Jun 30, 2022 | 218.03 Mn |
| Mar 31, 2022 | 241.35 Mn |
| Dec 31, 2021 | 328.12 Mn |
API Access
Etsy Accumulated 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=accumulated-expenses&ticker=ETSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ETSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();