Workiva (WK) Other Operating Expenses (2013 - 2026)
Workiva (WK) recorded Other Operating Expenses of $109.02 million in Q2 2026, up 4.8% from $104.03 million a year earlier and up 4.3% from the prior quarter.
Workiva (WK) Other Operating Expenses (2013 - 2026) Analysis & Trends
On a TTM basis, Workiva's Other Operating Expenses came in at $416.68 million as of Jun 30, 2026, up 8.1% year-over-year; for FY2025, it came in at $408.87 million, up 17.7% from FY2024.
- Annual Other Operating Expenses has increased for 13 straight years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $347.24 million in FY2024 (+21.0%), $287.04 million in FY2023 (+17.0%), $245.26 million in FY2022 (+37.2%) and $178.79 million in FY2021 (+23.6%).
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q1 2013.
- On a year-over-year basis, Other Operating Expenses has increased for 36 consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 2.8% (Q1 2026) to 54.7% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $104.49 million (Q1 2026), $102.05 million (Q4 2025) and $101.13 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.02 Mn |
| Mar 31, 2026 | 104.49 Mn |
| Dec 31, 2025 | 102.05 Mn |
| Sep 30, 2025 | 101.13 Mn |
| Jun 30, 2025 | 104.03 Mn |
| Mar 31, 2025 | 101.67 Mn |
| Dec 31, 2024 | 90.16 Mn |
| Sep 30, 2024 | 89.76 Mn |
| Jun 30, 2024 | 84.70 Mn |
| Mar 31, 2024 | 82.63 Mn |
| Dec 31, 2023 | 71.87 Mn |
| Sep 30, 2023 | 72.58 Mn |
| Jun 30, 2023 | 71.88 Mn |
| Mar 31, 2023 | 70.71 Mn |
| Dec 31, 2022 | 60.38 Mn |
| Sep 30, 2022 | 64.56 Mn |
| Jun 30, 2022 | 64.22 Mn |
| Mar 31, 2022 | 56.10 Mn |
| Dec 31, 2021 | 50.20 Mn |
| Sep 30, 2021 | 46.03 Mn |
Workiva Other 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=other-operating-expenses&ticker=WK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=WK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();