SelectQuote (SLQT) Operating Expenses (2019 - 2026)
SelectQuote's Operating Expenses was $318.22 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 11.0% from $357.63 million a year earlier and down 19.4% from the prior quarter.
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Analysis
SelectQuote (SLQT) Operating Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Expenses at SelectQuote came in at $1.54 billion, up 5.9% from FY2025.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 15.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.46 billion in FY2025 (+16.0%), $1.26 billion in FY2024 (+26.8%), $991.27 million in FY2023 (-10.7%) and $1.11 billion in FY2022 (+50.5%).
- The fiscal Q4 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q1 2025.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 11.3%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2022 (growth of 81.4%); the worst was fiscal Q2 2023 (a decline of 27.7%).
- Per Business Quant data, SLQT's Operating Expenses in the three fiscal quarters before Q4 2026 was $395 million (Q3 2026), $461.79 million (Q2 2026) and $369.56 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 3.33 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 3.59 Bn |
| 10 | SelectQuote | 72.35 Mn | 51.63 Mn | 160.17 Mn | 318.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 318.22 Mn |
| Mar 31, 2026 | 395.00 Mn |
| Dec 31, 2025 | 461.79 Mn |
| Sep 30, 2025 | 369.56 Mn |
| Jun 30, 2025 | 357.63 Mn |
| Mar 31, 2025 | 386.10 Mn |
| Dec 31, 2024 | 410.13 Mn |
| Sep 30, 2024 | 304.24 Mn |
| Jun 30, 2024 | 308.60 Mn |
| Mar 31, 2024 | 343.34 Mn |
| Dec 31, 2023 | 350.14 Mn |
| Sep 30, 2023 | 255.15 Mn |
| Jun 30, 2023 | 257.44 Mn |
| Mar 31, 2023 | 265.67 Mn |
| Dec 31, 2022 | 266.16 Mn |
| Sep 30, 2022 | 202.00 Mn |
| Jun 30, 2022 | 258.07 Mn |
| Mar 31, 2022 | 272.01 Mn |
| Dec 31, 2021 | 367.89 Mn |
| Sep 30, 2021 | 212.09 Mn |
API Access
SelectQuote 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=SLQT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();