SLM Corp (SLM) Operating Expenses (2009 - 2026)
Slm's Operating Expenses was $194.98 million in Q2 2026, up 16.6% from $167.24 million a year earlier and up 14.0% from the prior quarter.
SLM Corp (SLM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Slm's Operating Expenses was $703.37 million through Jun 30, 2026, up 9.3% year-over-year; for FY2025, it was $659.14 million, up 2.7% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $641.9 million in FY2024 (-6.4%), $685.57 million in FY2023 (+22.6%), $559.24 million in FY2022 (+7.6%) and $519.91 million in FY2021 (-7.9%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2012.
- Compared with a year earlier, Operating Expenses has increased for five straight quarters, with growth averaging 5.5% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2023 (growth of 18.8%); the worst was Q1 2025 (a decline of 4.4%).
- Per Business Quant data, SLM's Operating Expenses in the three quarters before Q2 2026 was $171.1 million (Q1 2026), $156.89 million (Q4 2025) and $180.4 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194.98 Mn |
| Mar 31, 2026 | 171.10 Mn |
| Dec 31, 2025 | 156.89 Mn |
| Sep 30, 2025 | 180.40 Mn |
| Jun 30, 2025 | 167.24 Mn |
| Mar 31, 2025 | 154.61 Mn |
| Dec 31, 2024 | 149.63 Mn |
| Sep 30, 2024 | 172.02 Mn |
| Jun 30, 2024 | 158.60 Mn |
| Mar 31, 2024 | 161.65 Mn |
| Dec 31, 2023 | 143.10 Mn |
| Sep 30, 2023 | 170.24 Mn |
| Jun 30, 2023 | 156.41 Mn |
| Mar 31, 2023 | 156.81 Mn |
| Dec 31, 2022 | 137.76 Mn |
| Sep 30, 2022 | 149.96 Mn |
| Jun 30, 2022 | 131.73 Mn |
| Mar 31, 2022 | 132.01 Mn |
| Dec 31, 2021 | 125.50 Mn |
| Sep 30, 2021 | 140.65 Mn |
SLM Corp Operating Expenses 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=operating-expenses&ticker=SLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();