ServiceNow (NOW) Change in Accured Expenses (2012 - 2026)
ServiceNow (NOW) posted Change in Accured Expenses of $280 million for Q2 2026, up 59.1% from $176 million a year earlier.
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Analysis
ServiceNow (NOW) Change in Accured Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at ServiceNow was $201 million, up 131.0% year-over-year; for FY2025, it was $249 million, up 132.7% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, ServiceNow's Change in Accured Expenses was $107 million in FY2024 (-39.2%), $176 million in FY2023 (+309.3%), $43 million in FY2022 (-57.8%) and $102 million in FY2021 (-41.7%).
- Quarterly Change in Accured Expenses has run from a low of -$439 million in Q1 2026 to a high of $460 million in Q4 2025 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 26.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2023, with growth of 307.9%; the weakest was Q2 2022, with a decline of 54.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$439 million (Q1 2026), $460 million (Q4 2025) and -$100 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | -1.08 Bn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Thomson Reuters | 48.40 Bn | 45.18 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 280.00 Mn |
| Mar 31, 2026 | -439.00 Mn |
| Dec 31, 2025 | 460.00 Mn |
| Sep 30, 2025 | -100.00 Mn |
| Jun 30, 2025 | 176.00 Mn |
| Mar 31, 2025 | -287.00 Mn |
| Dec 31, 2024 | 323.00 Mn |
| Sep 30, 2024 | -125.00 Mn |
| Jun 30, 2024 | 149.00 Mn |
| Mar 31, 2024 | -240.00 Mn |
| Dec 31, 2023 | 375.00 Mn |
| Sep 30, 2023 | -95.00 Mn |
| Jun 30, 2023 | 155.00 Mn |
| Mar 31, 2023 | -259.00 Mn |
| Dec 31, 2022 | 240.00 Mn |
| Sep 30, 2022 | -32.00 Mn |
| Jun 30, 2022 | 38.00 Mn |
| Mar 31, 2022 | -203.00 Mn |
| Dec 31, 2021 | 228.00 Mn |
| Sep 30, 2021 | -15.00 Mn |
API Access
ServiceNow Change in Accured 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=change-in-accured-expenses&ticker=NOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=NOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();