Workiva (WK) Operating Margin (2013 - 2026)
Workiva (WK) posted Operating Margin of 4.57% for Q2 2026, up 14.86 percentage points from -10.29% a year earlier but down 1.62 percentage points from the prior quarter.
Workiva (WK) Operating Margin (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Workiva was 3.26%, up 13.42 percentage points year-over-year; for FY2025, it was -4.80%, up 5.56 percentage points from FY2024.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +5.95 percentage points (FY2020 to FY2025).
- In prior years, Workiva's Operating Margin was -10.36% in FY2024 (+4.64 pp), -15.00% in FY2023 (+1.50 pp), -16.50% in FY2022 (-9.88 pp) and -6.62% in FY2021 (+4.13 pp).
- Quarterly Operating Margin has run from a low of -31.19% in Q1 2023 to a high of 6.20% in Q1 2026 over five years.
- On a year-over-year basis, Operating Margin has increased in each of the last five quarters, with an average year-over-year change of +6.44 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2024, with a gain of 20.78 percentage points; the weakest was Q1 2023, with a drop of 17.94 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was 6.20% (Q1 2026), 3.29% (Q4 2025) and -1.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 34.78% |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -6,808.11% |
| 10 | Workiva | 3.69 Bn | 263.06 Mn | 205.27 Mn | 4.57% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.57% |
| Mar 31, 2026 | 6.20% |
| Dec 31, 2025 | 3.29% |
| Sep 30, 2025 | -1.52% |
| Jun 30, 2025 | -10.29% |
| Mar 31, 2025 | -12.00% |
| Dec 31, 2024 | -6.66% |
| Sep 30, 2024 | -11.73% |
| Jun 30, 2024 | -13.04% |
| Mar 31, 2024 | -10.41% |
| Dec 31, 2023 | -5.68% |
| Sep 30, 2023 | -9.82% |
| Jun 30, 2023 | -14.64% |
| Mar 31, 2023 | -31.19% |
| Dec 31, 2022 | -9.23% |
| Sep 30, 2022 | -22.67% |
| Jun 30, 2022 | -21.43% |
| Mar 31, 2022 | -13.25% |
| Dec 31, 2021 | -9.52% |
| Sep 30, 2021 | -7.07% |
Workiva Operating Margin 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=operating-margin&ticker=WK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();