Slm (SLM) Wages, Salaries and Other (2009 - 2026)
Slm (SLM) posted Wages, Salaries and Other of $98.44 million for Q3 2026, up 17.7% from $83.67 million a year earlier but down 1.8% from the prior quarter.
Slm (SLM) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Wages, Salaries and Other at Slm was $388.56 million, up 14.5% year-over-year; for FY2025, it was $345.81 million, down 1.0% from FY2024.
- Annual Wages, Salaries and Other shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In prior years, Slm's Wages, Salaries and Other was $349.39 million in FY2024 (+7.0%), $326.55 million in FY2023 (+20.8%), $270.35 million in FY2022 (+4.7%) and $258.32 million in FY2021 (-8.6%).
- Quarterly Wages, Salaries and Other has run from a low of $57.9 million in Q4 2021 to a high of $103.45 million in Q1 2026 over five years.
- On a year-over-year basis, Wages, Salaries and Other has increased in each of the last four quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q3 2023, with growth of 28.6%; the weakest was Q4 2021, with a decline of 8.2%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $100.25 million (Q2 2026), $103.45 million (Q1 2026) and $86.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 44.05 Bn | 29.73 Bn | - | 1.05 Bn |
| 2 | Orix | 40.96 Bn | 10.18 Bn | 12.74 Bn | - |
| 3 | Royalty Pharma | 36.72 Bn | 36.63 Bn | - | - |
| 4 | Affirm Holdings | 23.63 Bn | 17.32 Bn | - | - |
| 5 | Federal National Mortgage Association Fannie Mae | 23.47 Bn | 23.47 Bn | - | 463.00 Mn |
| 6 | Synchrony Financial | 22.90 Bn | -44.72 Bn | - | 507.00 Mn |
| 7 | Royal Gold | 19.26 Bn | 18.48 Bn | 390.45 Mn | - |
| 8 | Annaly Capital Management | 13.77 Bn | 4.86 Bn | - | 44.64 Mn |
| 9 | Ares Capital | 13.38 Bn | 10.82 Bn | - | - |
| 10 | Slm | 3.55 Bn | -12.79 Bn | - | 98.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 98.44 Mn |
| Jun 30, 2026 | 100.25 Mn |
| Mar 31, 2026 | 103.45 Mn |
| Dec 31, 2025 | 86.42 Mn |
| Sep 30, 2025 | 83.67 Mn |
| Jun 30, 2025 | 84.90 Mn |
| Mar 31, 2025 | 90.83 Mn |
| Dec 31, 2024 | 80.08 Mn |
| Sep 30, 2024 | 87.57 Mn |
| Jun 30, 2024 | 85.26 Mn |
| Mar 31, 2024 | 96.48 Mn |
| Dec 31, 2023 | 77.10 Mn |
| Sep 30, 2023 | 83.58 Mn |
| Jun 30, 2023 | 78.23 Mn |
| Mar 31, 2023 | 87.65 Mn |
| Dec 31, 2022 | 67.36 Mn |
| Sep 30, 2022 | 65.00 Mn |
| Jun 30, 2022 | 66.01 Mn |
| Mar 31, 2022 | 71.98 Mn |
| Dec 31, 2021 | 57.90 Mn |
Slm Wages, Salaries and Other 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=wages-salaries-and-other&ticker=SLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=SLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();