Etsy (ETSY) Shares Outstanding (Diluted) (2015 - 2026)
Etsy's Weighted Average Shares Outstanding (Diluted) came in at 117.24 million for Q3 2026, down 6.2% from 124.96 million a year earlier and down 2.3% from the prior quarter.
Etsy (ETSY) Shares Outstanding (Diluted) (2015 - 2026) Analysis & Trends
For FY2025, Etsy's Weighted Average Shares Outstanding (Diluted) was 124.11 million, down 5.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 131.72 million in FY2024 (-6.0%), 140.15 million in FY2023 (+10.5%), 126.78 million in FY2022 (-13.6%) and 146.68 million in FY2021 (+7.5%).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q1 2025.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in 1 of the last eight quarters, with an average decline of 5.0%.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q1 2026 (growth of 13.0%), and the weakest in Q1 2025 (a decline of 20.9%).
- Business Quant data shows ETSY's Weighted Average Shares Outstanding (Diluted) at 119.96 million (Q2 2026), 121.03 million (Q1 2026) and 124.11 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 753.00 Mn |
| 10 | Etsy | 8.21 Bn | 1.77 Bn | 503.15 Mn | 117.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.24 Mn |
| Jun 30, 2026 | 119.96 Mn |
| Mar 31, 2026 | 121.03 Mn |
| Dec 31, 2025 | 124.11 Mn |
| Sep 30, 2025 | 124.96 Mn |
| Jun 30, 2025 | 121.51 Mn |
| Mar 31, 2025 | 107.08 Mn |
| Dec 31, 2024 | 131.72 Mn |
| Sep 30, 2024 | 130.75 Mn |
| Jun 30, 2024 | 133.12 Mn |
| Mar 31, 2024 | 135.34 Mn |
| Dec 31, 2023 | 140.15 Mn |
| Sep 30, 2023 | 138.89 Mn |
| Jun 30, 2023 | 141.01 Mn |
| Mar 31, 2023 | 142.97 Mn |
| Dec 31, 2022 | 126.78 Mn |
| Sep 30, 2022 | 126.35 Mn |
| Jun 30, 2022 | 145.68 Mn |
| Mar 31, 2022 | 146.68 Mn |
| Dec 31, 2021 | 146.68 Mn |
Etsy Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ETSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ETSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();