SLM Corp (SLM) Other Non-Interest Expense (2009 - 2026)
Analysis
SLM Corp (SLM) Other Non-Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.59 Mn |
| Mar 31, 2026 | 62.21 Mn |
| Dec 31, 2025 | 63.87 Mn |
| Sep 30, 2025 | 89.23 Mn |
| Jun 30, 2025 | 71.56 Mn |
| Mar 31, 2025 | 50.38 Mn |
| Dec 31, 2024 | 54.95 Mn |
| Sep 30, 2024 | 70.48 Mn |
| Jun 30, 2024 | 60.61 Mn |
| Mar 31, 2024 | 50.86 Mn |
| Dec 31, 2023 | 51.25 Mn |
| Sep 30, 2023 | 71.38 Mn |
| Jun 30, 2023 | 66.08 Mn |
| Mar 31, 2023 | 55.36 Mn |
| Dec 31, 2022 | 58.66 Mn |
| Sep 30, 2022 | 78.04 Mn |
| Jun 30, 2022 | 62.08 Mn |
| Mar 31, 2022 | 53.34 Mn |
| Dec 31, 2021 | 61.87 Mn |
| Sep 30, 2021 | 67.79 Mn |
API Access
SLM Corp Other Non-Interest Expense 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=other-non-interest-expense&ticker=SLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "ticker": "SLM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-interest-expense&ticker=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();