Workiva (WK) Return on Sales [ROS] (2013 - 2026)
Workiva's Return on Sales [ROS] came in at 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.
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Analysis
Workiva (WK) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Workiva reported Return on Sales [ROS] of 3.26%, up 13.42 percentage points year-over-year; for FY2025, it was -4.80%, up 5.56 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +5.95 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] 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).
- The five-year range for quarterly Return on Sales [ROS] is -31.19% (Q1 2023) to 6.20% (Q1 2026).
- Year-over-year, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +6.44 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 20.78 percentage points), and the weakest in Q1 2023 (a drop of 17.94 percentage points).
- Business Quant data shows WK's Return on Sales [ROS] at 6.20% (Q1 2026), 3.29% (Q4 2025) and -1.52% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Workiva | 3.85 Bn | 426.95 Mn | 205.27 Mn | 4.57% |
Historic Data
Download Data
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% |
API Access
Workiva Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();