Workiva (WK) EPS (Diluted) (2019 - 2026)
Workiva (WK) reported EPS (Diluted) of $0.24 for Q2 2026, compared with -$0.35 a year earlier and down 26.2% from the prior quarter.
Analysis
Workiva (WK) EPS (Diluted) (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Workiva's EPS (Diluted) came in at $0.84; for FY2025, it was -$0.47.
- By year, EPS (Diluted) came in at -$0.99 in FY2024, -$2.36 in FY2023, -$1.72 in FY2022 and -$0.74 in FY2021.
- Five-year quarterly EPS (Diluted) spans a low of -$1.04 in Q3 2023 and a high of $0.33 in Q1 2026.
- Per Business Quant data, the three quarters before Q2 2026 came in at $0.33 (Q1 2026), $0.21 (Q4 2025) and $0.05 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.41 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 1.56 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 2.19 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 4.29 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.29 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 2.43 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -24.45 |
| 10 | Workiva | 3.69 Bn | 263.06 Mn | 205.27 Mn | 0.24 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.24 |
| Mar 31, 2026 | 0.33 |
| Dec 31, 2025 | 0.21 |
| Sep 30, 2025 | 0.05 |
| Jun 30, 2025 | -0.35 |
| Mar 31, 2025 | -0.38 |
| Dec 31, 2024 | -0.16 |
| Sep 30, 2024 | -0.31 |
| Jun 30, 2024 | -0.32 |
| Mar 31, 2024 | -0.21 |
| Dec 31, 2023 | -0.08 |
| Sep 30, 2023 | -1.04 |
| Jun 30, 2023 | -0.39 |
| Mar 31, 2023 | -0.86 |
| Dec 31, 2022 | -0.26 |
| Sep 30, 2022 | -0.56 |
| Jun 30, 2022 | -0.55 |
| Mar 31, 2022 | -0.35 |
| Dec 31, 2021 | -0.28 |
| Sep 30, 2021 | -0.13 |
API Access
Workiva EPS (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=eps-diluted&ticker=WK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();