Raymond James Financial Inc (RJF) Deposits - Total (2009 - 2026)
Analysis
Raymond James Financial Inc (RJF) Deposits - Total (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.32 Bn |
| Mar 31, 2026 | 62.42 Bn |
| Dec 31, 2025 | 60.15 Bn |
| Sep 30, 2025 | 58.90 Bn |
| Jun 30, 2025 | 57.25 Bn |
| Mar 31, 2025 | 56.40 Bn |
| Dec 31, 2024 | 55.85 Bn |
| Sep 30, 2024 | 56.01 Bn |
| Jun 30, 2024 | 54.40 Bn |
| Mar 31, 2024 | 54.84 Bn |
| Dec 31, 2023 | 55.39 Bn |
| Sep 30, 2023 | 54.20 Bn |
| Jun 30, 2023 | 53.77 Bn |
| Mar 31, 2023 | 54.23 Bn |
| Dec 31, 2022 | 51.98 Bn |
| Sep 30, 2022 | 51.36 Bn |
| Jun 30, 2022 | 49.89 Bn |
| Mar 31, 2022 | 34.69 Bn |
| Dec 31, 2021 | 34.09 Bn |
| Sep 30, 2021 | 32.50 Bn |
API Access
Raymond James Financial Inc Deposits - Total 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=deposits-total&ticker=RJF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "deposits-total", "ticker": "RJF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=deposits-total&ticker=RJF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();