SelectQuote (SLQT) Selling, General & Administrative (2019 - 2026)
SelectQuote (SLQT) reported Selling, General & Administrative of $36.07 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.3% from $41.59 million a year earlier and down 5.5% from the prior quarter.
SelectQuote (SLQT) Selling, General & Administrative (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), SelectQuote posted Selling, General & Administrative of $149.02 million, down 9.4% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 18.7% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $164.44 million in FY2025 (+16.6%), $141.04 million in FY2024 (+3.3%), $136.52 million in FY2023 (+35.2%) and $100.95 million in FY2022 (+59.9%).
- Five-year quarterly Selling, General & Administrative spans a low of $21.89 million in fiscal Q2 2022 and a high of $49.86 million in fiscal Q4 2023.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q1 2022 (growth of 95.8%); the low point was fiscal Q2 2026 (a decline of 13.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $38.19 million (Q3 2026), $38.94 million (Q2 2026) and $35.82 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 6.72 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 1.17 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | - |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 1.57 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | - |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | - |
| 10 | SelectQuote | 72.35 Mn | 51.63 Mn | 160.17 Mn | 36.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.07 Mn |
| Mar 31, 2026 | 38.19 Mn |
| Dec 31, 2025 | 38.94 Mn |
| Sep 30, 2025 | 35.82 Mn |
| Jun 30, 2025 | 41.59 Mn |
| Mar 31, 2025 | 41.69 Mn |
| Dec 31, 2024 | 45.02 Mn |
| Sep 30, 2024 | 36.15 Mn |
| Jun 30, 2024 | 43.99 Mn |
| Mar 31, 2024 | 34.97 Mn |
| Dec 31, 2023 | 33.41 Mn |
| Sep 30, 2023 | 28.67 Mn |
| Jun 30, 2023 | 49.86 Mn |
| Mar 31, 2023 | 27.54 Mn |
| Dec 31, 2022 | 28.41 Mn |
| Sep 30, 2022 | 30.71 Mn |
| Jun 30, 2022 | 30.45 Mn |
| Mar 31, 2022 | 24.71 Mn |
| Dec 31, 2021 | 21.89 Mn |
| Sep 30, 2021 | 23.90 Mn |
SelectQuote Selling, General & Administrative 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=selling-general-and-administrative&ticker=SLQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SLQT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=SLQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();