Workiva (WK) Return on Capital Employed [ROCE] (2015 - 2026)
Workiva's Return on Capital Employed [ROCE] was 4.64% in Q2 2026, up 17.12 percentage points from -12.47% a year earlier and up 4.95 percentage points from the prior quarter.
Workiva (WK) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Workiva came in at -6.16%, up 4.76 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now increased for four consecutive years, with a five-year change of +3.51 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -10.91% in FY2024 (+6.76 pp), -17.68% in FY2023 (+4.72 pp), -22.40% in FY2022 (+6.84 pp) and -29.24% in FY2021 (-19.58 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2015.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +4.82 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q1 2024 (a gain of 19.74 percentage points); the worst was Q1 2023 (a drop of 18.93 percentage points).
- Per Business Quant data, WK's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -0.31% (Q1 2026), -5.97% (Q4 2025) and -9.27% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Workiva | 3.85 Bn | 426.95 Mn | 205.27 Mn | 4.64% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.64% |
| Mar 31, 2026 | -0.31% |
| Dec 31, 2025 | -5.97% |
| Sep 30, 2025 | -9.27% |
| Jun 30, 2025 | -12.47% |
| Mar 31, 2025 | -10.59% |
| Dec 31, 2024 | -10.30% |
| Sep 30, 2024 | -9.91% |
| Jun 30, 2024 | -9.28% |
| Mar 31, 2024 | -8.87% |
| Dec 31, 2023 | -13.51% |
| Sep 30, 2023 | -17.82% |
| Jun 30, 2023 | -28.87% |
| Mar 31, 2023 | -28.62% |
| Dec 31, 2022 | -22.69% |
| Sep 30, 2022 | -21.70% |
| Jun 30, 2022 | -15.89% |
| Mar 31, 2022 | -9.68% |
| Dec 31, 2021 | -24.06% |
| Sep 30, 2021 | -17.99% |
Workiva Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=WK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();