ServiceNow (NOW) Price to Earnings (2019 - 2026)
ServiceNow's (NOW) quarterly Price to Earnings came in at 344.48 in Q2 2026, down 37.98% on a YoY basis from 555.44 in Q2 2025, and up 49.84% quarter-over-quarter from 229.9 in Q1 2026.
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Analysis
ServiceNow (NOW) Price to Earnings (2019 - 2026) Analysis & Trends
ServiceNow (NOW) has reported Price to Earnings for 15 consecutive years, with 344.48 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 37.98% year-over-year to 344.48; the trailing twelve-month figure through Jun 2026 stood at 61.47 (down 52.25% YoY), and the FY2025 full-year result was 91.78, down 40.25% from the prior year.
- Price to Earnings rose to 344.48 in Q2 2026 per NOW's latest filing, from 229.9 in the prior quarter.
- Across five years, Price to Earnings topped out at 4802.55 in Q2 2022 and bottomed at 109.97 in Q2 2023.
- Historically, Price to Earnings has averaged 767.43 across 5 years, with a median of 481.89 in 2023.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings tumbled 97.71% in 2023, then soared 462.17% in 2024.
- Over 5 years, Price to Earnings stood at 525.17 in 2022, then declined by 6.64% to 490.3 in 2023, then advanced by 16.27% to 570.04 in 2024, then decreased by 29.82% to 400.08 in 2025, then decreased by 13.9% to 344.48 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 344.48, 229.9, and 400.08 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.47 |
| Mar 31, 2026 | 61.37 |
| Dec 31, 2025 | 91.78 |
| Sep 30, 2025 | 110.58 |
| Jun 30, 2025 | 128.74 |
| Mar 31, 2025 | 107.15 |
| Dec 31, 2024 | 153.61 |
| Sep 30, 2024 | 138.12 |
| Jun 30, 2024 | 141.34 |
| Mar 31, 2024 | 81.22 |
| Dec 31, 2023 | 83.56 |
| Sep 30, 2023 | 72.25 |
| Jun 30, 2023 | 80.62 |
| Mar 31, 2023 | 237.00 |
| Dec 31, 2022 | 242.39 |
| Sep 30, 2022 | 380.23 |
| Jun 30, 2022 | 522.02 |
| Mar 31, 2022 | 500.71 |
| Dec 31, 2021 | 563.33 |
| Sep 30, 2021 | 560.31 |
API Access
ServiceNow Price to Earnings 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=price-to-earnings&ticker=NOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();