Perion Network (PERI) Assets (2009 - 2026)
Analysis
Perion Network (PERI) Assets (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 851.41 Mn |
| Mar 31, 2026 | 866.19 Mn |
| Dec 31, 2025 | 913.76 Mn |
| Sep 30, 2025 | 915.56 Mn |
| Jun 30, 2025 | 907.18 Mn |
| Mar 31, 2025 | 878.27 Mn |
| Dec 31, 2024 | 915.53 Mn |
| Sep 30, 2024 | 892.47 Mn |
| Jun 30, 2024 | 937.11 Mn |
| Mar 31, 2024 | 1.01 Bn |
| Dec 31, 2023 | 1.08 Bn |
| Sep 30, 2023 | 940.05 Mn |
| Jun 30, 2023 | 903.51 Mn |
| Mar 31, 2023 | 846.83 Mn |
| Dec 31, 2022 | 870.22 Mn |
| Sep 30, 2022 | 767.99 Mn |
| Jun 30, 2022 | 711.83 Mn |
| Mar 31, 2022 | 700.16 Mn |
| Dec 31, 2021 | 713.23 Mn |
| Sep 30, 2021 | 436.87 Mn |
API Access
Perion Network Assets 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=assets&ticker=PERI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "ticker": "PERI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=assets&ticker=PERI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();