ACCESS Newswire (ACCS) Price to Earnings (2009 - 2025)
ACCESS Newswire's (ACCS) Price to Earnings came in at 8.35 for Q4 2025.
Analysis
ACCESS Newswire (ACCS) Price to Earnings (2009 - 2025) Analysis & Trends
Since Q2 2009, ACCESS Newswire has reported Price to Earnings for 56 quarters.
- In prior years, ACCESS Newswire's Price to Earnings was 90.30 in FY2023 (+84.0%), 49.08 in FY2022 (+44.6%) and 33.95 in FY2021 (+8.3%).
- The Q4 2025 figure stands as the highest quarterly Price to Earnings in data going back to Q2 2009.
- The strongest year-over-year quarter for Price to Earnings in the past five years was Q3 2023, with growth of 88.0%; the weakest was Q1 2021, with a decline of 28.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | ACCESS Newswire | 18.15 Mn | 6.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.35 |
| Mar 31, 2024 | 63.97 |
| Dec 31, 2023 | 90.30 |
| Sep 30, 2023 | 51.81 |
| Jun 30, 2023 | 39.85 |
| Mar 31, 2023 | 62.58 |
| Dec 31, 2022 | 49.08 |
| Sep 30, 2022 | 27.57 |
| Jun 30, 2022 | 30.98 |
| Mar 31, 2022 | 34.59 |
| Dec 31, 2021 | 33.95 |
| Sep 30, 2021 | 33.11 |
| Jun 30, 2021 | 37.22 |
| Mar 31, 2021 | 34.06 |
| Dec 31, 2020 | 31.35 |
| Sep 30, 2020 | 40.08 |
| Jun 30, 2020 | 29.93 |
| Mar 31, 2020 | 47.49 |
| Dec 31, 2019 | 64.52 |
| Sep 30, 2019 | 58.18 |
API Access
ACCESS Newswire 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=ACCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "ACCS", "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=ACCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();