Upwork (UPWK) Shares Outstanding (Diluted) (2019 - 2026)
Upwork (UPWK) reported Shares Outstanding (Diluted) of 129.96 million for Q2 2026, down 7.3% from 140.2 million a year earlier and down 4.2% from the prior quarter.
Upwork (UPWK) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Upwork posted Shares Outstanding (Diluted) of 140.66 million, down 1.7% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 143.15 million in FY2024 (+4.3%), 137.26 million in FY2023 (+5.2%), 130.52 million in FY2022 (+2.6%) and 127.16 million in FY2021 (+7.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q1 2022.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last three quarters, with an average decline of 0.9% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 7.1%); the low point was Q2 2026 (a decline of 7.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 135.66 million (Q1 2026), 140.66 million (Q4 2025) and 139.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 12.31 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 4.26 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 2.40 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.30 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 2.05 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 770.00 Mn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 1.48 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 210.51 Mn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 597.00 Mn |
| 10 | Upwork | 1.04 Bn | -1.47 Bn | 146.37 Mn | 129.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.96 Mn |
| Mar 31, 2026 | 135.66 Mn |
| Dec 31, 2025 | 140.66 Mn |
| Sep 30, 2025 | 139.67 Mn |
| Jun 30, 2025 | 140.20 Mn |
| Mar 31, 2025 | 142.78 Mn |
| Dec 31, 2024 | 143.15 Mn |
| Sep 30, 2024 | 139.29 Mn |
| Jun 30, 2024 | 138.27 Mn |
| Mar 31, 2024 | 143.66 Mn |
| Dec 31, 2023 | 137.26 Mn |
| Sep 30, 2023 | 137.29 Mn |
| Jun 30, 2023 | 134.14 Mn |
| Mar 31, 2023 | 135.97 Mn |
| Dec 31, 2022 | 130.52 Mn |
| Sep 30, 2022 | 130.83 Mn |
| Jun 30, 2022 | 130.06 Mn |
| Mar 31, 2022 | 129.36 Mn |
| Dec 31, 2021 | 127.16 Mn |
| Sep 30, 2021 | 127.92 Mn |
Upwork 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=UPWK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "UPWK", "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=UPWK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();