Workiva (WK) Operating Expenses (2013 - 2026)
Workiva's Operating Expenses was $193.6 million in Q2 2026, up 3.1% from $187.79 million a year earlier and up 5.5% from the prior quarter.
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Analysis
Workiva (WK) Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Workiva's Operating Expenses was $743.14 million through Jun 30, 2026, up 5.9% year-over-year; for FY2025, it came in at $736.58 million, up 14.5% from FY2024.
- Operating Expenses has now increased for 13 consecutive years, with a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $643.16 million in FY2024 (+12.8%), $570.34 million in FY2023 (+14.8%), $496.75 million in FY2022 (+34.7%) and $368.81 million in FY2021 (+23.3%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2013.
- Compared with a year earlier, Operating Expenses has increased for nine straight quarters, with growth averaging 13.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 47.0%); the worst was Q1 2024 (a decline of 3.8%).
- Per Business Quant data, WK's Operating Expenses in the three quarters before Q2 2026 was $183.44 million (Q1 2026), $184.91 million (Q4 2025) and $181.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 477.64 Bn | 446.59 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 373.36 Bn | 245.49 Bn | - | 12.62 Bn |
| 3 | Sap Se | 278.03 Bn | 205.81 Bn | 8.40 Bn | 8.41 Bn |
| 4 | Salesforce | 203.08 Bn | 158.96 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 162.99 Bn | 141.45 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 121.17 Bn | 103.29 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 93.77 Bn | 73.11 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 73.70 Bn | 72.79 Bn | - | - |
| 9 | Thomson Reuters | 54.80 Bn | 51.58 Bn | - | 1.21 Bn |
| 10 | Workiva | 4.81 Bn | 1.38 Bn | 205.27 Mn | 193.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.60 Mn |
| Mar 31, 2026 | 183.44 Mn |
| Dec 31, 2025 | 184.91 Mn |
| Sep 30, 2025 | 181.19 Mn |
| Jun 30, 2025 | 187.79 Mn |
| Mar 31, 2025 | 182.69 Mn |
| Dec 31, 2024 | 167.52 Mn |
| Sep 30, 2024 | 163.73 Mn |
| Jun 30, 2024 | 159.48 Mn |
| Mar 31, 2024 | 152.43 Mn |
| Dec 31, 2023 | 138.28 Mn |
| Sep 30, 2023 | 135.35 Mn |
| Jun 30, 2023 | 138.21 Mn |
| Mar 31, 2023 | 158.51 Mn |
| Dec 31, 2022 | 122.72 Mn |
| Sep 30, 2022 | 130.55 Mn |
| Jun 30, 2022 | 127.50 Mn |
| Mar 31, 2022 | 115.98 Mn |
| Dec 31, 2021 | 103.12 Mn |
| Sep 30, 2021 | 94.26 Mn |
API Access
Workiva Operating 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=operating-expenses&ticker=WK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();