Jpmorgan Chase (JPM-PJ) Intangibles (2009 - 2026)
Powered by 
Analysis
Jpmorgan Chase (JPM-PJ) Intangibles (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 64.87 Bn |
| Jun 30, 2026 | 64.30 Bn |
| Mar 31, 2026 | 64.29 Bn |
| Dec 31, 2025 | 64.46 Bn |
| Sep 30, 2025 | 64.45 Bn |
| Jun 30, 2025 | 64.55 Bn |
| Mar 31, 2025 | 64.44 Bn |
| Dec 31, 2024 | 64.56 Bn |
| Sep 30, 2024 | 64.35 Bn |
| Jun 30, 2024 | 64.45 Bn |
| Mar 31, 2024 | 64.40 Bn |
| Dec 31, 2023 | 64.38 Bn |
| Sep 30, 2023 | 64.68 Bn |
| Jun 30, 2023 | 62.53 Bn |
| Mar 31, 2023 | 60.86 Bn |
| Dec 31, 2022 | 60.86 Bn |
| Sep 30, 2022 | 60.09 Bn |
| Jun 30, 2022 | 59.36 Bn |
| Mar 31, 2022 | 57.55 Bn |
| Dec 31, 2021 | 56.69 Bn |
API Access
Jpmorgan Chase Intangibles 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=intangibles&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "JPM-PJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=JPM-PJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();