Workiva (WK) Accumulated Expenses (2013 - 2026)
Workiva (WK) posted Accumulated Expenses of $105.06 million for Q2 2026, down 11.4% from $118.59 million a year earlier but up 17.6% from the prior quarter.
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Analysis
Workiva (WK) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Workiva's Accumulated Expenses came in at $113.12 million, down 10.6% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In prior years, Workiva's Accumulated Expenses was $126.51 million in FY2024 (+29.2%), $97.92 million in FY2023 (+16.6%), $84 million in FY2022 (-0.2%) and $84.13 million in FY2021 (+23.3%).
- Quarterly Accumulated Expenses has run from a low of $71.59 million in Q1 2022 to a high of $126.51 million in Q4 2024 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2024, with growth of 29.2%; the weakest was Q2 2026, with a decline of 11.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $89.32 million (Q1 2026), $113.12 million (Q4 2025) and $120.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Workiva | 3.60 Bn | 172.73 Mn | 205.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 105.06 Mn |
| Mar 31, 2026 | 89.32 Mn |
| Dec 31, 2025 | 113.12 Mn |
| Sep 30, 2025 | 120.16 Mn |
| Jun 30, 2025 | 118.59 Mn |
| Mar 31, 2025 | 93.50 Mn |
| Dec 31, 2024 | 126.51 Mn |
| Sep 30, 2024 | 111.03 Mn |
| Jun 30, 2024 | 113.34 Mn |
| Mar 31, 2024 | 89.44 Mn |
| Dec 31, 2023 | 97.92 Mn |
| Sep 30, 2023 | 94.16 Mn |
| Jun 30, 2023 | 91.12 Mn |
| Mar 31, 2023 | 79.34 Mn |
| Dec 31, 2022 | 84.00 Mn |
| Sep 30, 2022 | 84.89 Mn |
| Jun 30, 2022 | 85.86 Mn |
| Mar 31, 2022 | 71.59 Mn |
| Dec 31, 2021 | 84.13 Mn |
| Sep 30, 2021 | 78.80 Mn |
API Access
Workiva Accumulated Expenses 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=accumulated-expenses&ticker=WK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();