Upwork (UPWK) Shares Outstanding (Diluted) (2019 - 2026)
Upwork (UPWK) reported Weighted Average Shares Outstanding (Diluted) of 128.26 million for Q3 2026, down 8.2% from 139.67 million a year earlier and down 1.3% from the prior quarter.
Upwork (UPWK) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Upwork posted Weighted Average Shares Outstanding (Diluted) of 140.66 million, down 1.7% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- By year, Weighted Average 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 Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding (Diluted) since Q4 2021.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now declined in each of the last four quarters, with an average decline of 2.1% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 7.1%); the low point was Q3 2026 (a decline of 8.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 129.96 million (Q2 2026), 135.66 million (Q1 2026) and 140.66 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 12.31 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 2.57 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 4.20 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 2.40 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 2.05 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 334.77 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 210.51 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 753.00 Mn |
| 10 | Upwork | 1.22 Bn | -951.96 Mn | 141.30 Mn | 128.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 128.26 Mn |
| 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 |
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();