Workiva (WK) Shares Outstanding (Diluted) (2019 - 2026)
Workiva (WK) posted Shares Outstanding (Diluted) of 56.06 million for Q2 2026, unchanged from 56.08 million a year earlier and down 4.1% from the prior quarter.
Workiva (WK) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Workiva's Shares Outstanding (Diluted) came in at 56.27 million, up 1.7% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior years, Workiva's Shares Outstanding (Diluted) was 55.36 million in FY2024 (+2.3%), 54.1 million in FY2023 (+2.2%), 52.95 million in FY2022 (+3.6%) and 51.13 million in FY2021 (+5.5%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 2.4%.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.0% (Q2 2026) and 5.5% (Q4 2021) over the last five years.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 58.44 million (Q1 2026), 56.27 million (Q4 2025) and 58.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 388.11 Bn | 352.94 Bn | 1.93 Bn | 2.57 Bn |
| 2 | Oracle | 358.47 Bn | 230.60 Bn | - | 3.00 Bn |
| 3 | Sap Se | 283.77 Bn | 211.17 Bn | 8.64 Bn | 1.18 Bn |
| 4 | Salesforce | 184.64 Bn | 140.51 Bn | 8.70 Bn | 821.00 Mn |
| 5 | Automatic Data Processing | 123.40 Bn | 110.20 Bn | 2.53 Bn | 403.30 Mn |
| 6 | ServiceNow | 110.58 Bn | 89.85 Bn | 2.90 Bn | 1.04 Bn |
| 7 | Intuit | 99.71 Bn | 79.06 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 75.94 Bn | 75.04 Bn | - | 1.84 Bn |
| 9 | Strategy | 55.50 Bn | 42.64 Bn | 89.63 Mn | 428.05 Mn |
| 10 | Workiva | 4.81 Bn | 1.38 Bn | 205.27 Mn | 56.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.06 Mn |
| Mar 31, 2026 | 58.44 Mn |
| Dec 31, 2025 | 56.27 Mn |
| Sep 30, 2025 | 58.18 Mn |
| Jun 30, 2025 | 56.08 Mn |
| Mar 31, 2025 | 56.16 Mn |
| Dec 31, 2024 | 55.36 Mn |
| Sep 30, 2024 | 55.58 Mn |
| Jun 30, 2024 | 55.18 Mn |
| Mar 31, 2024 | 54.92 Mn |
| Dec 31, 2023 | 54.10 Mn |
| Sep 30, 2023 | 54.26 Mn |
| Jun 30, 2023 | 54.01 Mn |
| Mar 31, 2023 | 53.69 Mn |
| Dec 31, 2022 | 52.95 Mn |
| Sep 30, 2022 | 53.08 Mn |
| Jun 30, 2022 | 52.85 Mn |
| Mar 31, 2022 | 52.60 Mn |
| Dec 31, 2021 | 51.13 Mn |
| Sep 30, 2021 | 51.44 Mn |
Workiva 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=WK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "WK", "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=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();