ServiceNow (NOW) Operating Expenses (2011 - 2026)
ServiceNow (NOW) recorded Operating Expenses of $2.66 billion in Q2 2026, up 24.5% from $2.13 billion a year earlier and up 14.1% from the prior quarter.
ServiceNow (NOW) Operating Expenses (2011 - 2026) Analysis & Trends
On a TTM basis, ServiceNow's Operating Expenses came in at $9.34 billion as of Jun 30, 2026, up 18.7% year-over-year; for FY2025, it was $8.47 billion, up 15.5% from FY2024.
- Annual Operating Expenses has increased for 14 straight years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $7.33 billion in FY2024 (+16.6%), $6.29 billion in FY2023 (+18.3%), $5.32 billion in FY2022 (+24.1%) and $4.29 billion in FY2021 (+28.6%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q3 2012.
- On a year-over-year basis, Operating Expenses has increased for 37 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 13.4% (Q1 2025) and 31.3% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $2.33 billion (Q1 2026), $2.29 billion (Q4 2025) and $2.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 12.62 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | -1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.66 Bn |
| Mar 31, 2026 | 2.33 Bn |
| Dec 31, 2025 | 2.29 Bn |
| Sep 30, 2025 | 2.06 Bn |
| Jun 30, 2025 | 2.13 Bn |
| Mar 31, 2025 | 1.99 Bn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | 1.80 Bn |
| Jun 30, 2024 | 1.84 Bn |
| Mar 31, 2024 | 1.75 Bn |
| Dec 31, 2023 | 1.65 Bn |
| Sep 30, 2023 | 1.56 Bn |
| Jun 30, 2023 | 1.56 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.37 Bn |
| Sep 30, 2022 | 1.34 Bn |
| Jun 30, 2022 | 1.34 Bn |
| Mar 31, 2022 | 1.27 Bn |
| Dec 31, 2021 | 1.21 Bn |
| Sep 30, 2021 | 1.09 Bn |
ServiceNow 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=NOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOW", "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=NOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();