SLM Corp (SLM) Amortization - Intangibles (2022 - 2026)
Slm (SLM) reported Amortization - Intangibles of $1 million for Q2 2026, unchanged from $1 million a year earlier and unchanged from the prior quarter.
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Analysis
SLM Corp (SLM) Amortization - Intangibles (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Slm's Amortization - Intangibles came in at $4 million, unchanged year-over-year; for FY2025, it was $4 million, down 20.0% from FY2024.
- Amortization - Intangibles has a three-year compound annual growth rate of -20.6% (FY2022 to FY2025).
- By year, Amortization - Intangibles came in at $5 million in FY2024 (-50.0%), $10 million in FY2023 (+25.0%) and $8 million in FY2022.
- Five-year quarterly Amortization - Intangibles spans a low of $1 million in Q1 2022 and a high of $3 million in Q3 2023.
- The high point for year-over-year Amortization - Intangibles in five years was Q1 2023 (growth of 127.2%); the low point was Q3 2024 (a decline of 66.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 million (Q1 2026), $1 million (Q4 2025) and $1 million (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 1.00 Mn |
| Sep 30, 2025 | 1.00 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 1.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
| Jun 30, 2024 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 2.65 Mn |
| Sep 30, 2023 | 3.00 Mn |
| Jun 30, 2023 | 2.25 Mn |
| Mar 31, 2023 | 2.27 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 2.33 Mn |
| Jun 30, 2022 | 2.42 Mn |
| Mar 31, 2022 | 1.00 Mn |
API Access
SLM Corp Amortization - 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=amortization-intangibles&ticker=SLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();