SelectQuote (SLQT) Change in Accured Expenses (2019 - 2026)
SelectQuote's Change in Accured Expenses came in at -$5.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $503,000 a year earlier.
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SelectQuote (SLQT) Change in Accured Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), SelectQuote's Change in Accured Expenses was $4.67 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -28.8% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was -$5.48 million in FY2025, $15.62 million in FY2024 (+374.5%), $3.29 million in FY2023 (+720.9%) and $401,000 in FY2022 (-98.4%).
- The five-year range for quarterly Change in Accured Expenses is -$26.87 million (fiscal Q3 2023) to $16.18 million (fiscal Q1 2022).
- Year-over-year, Change in Accured Expenses increased in two of the last five quarters, with an average decline of 3.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2023 (growth of 703.2%), and the weakest in fiscal Q4 2025 (a decline of 87.9%).
- Business Quant data shows SLQT's Change in Accured Expenses at $4.82 million (Q3 2026), $13.85 million (Q2 2026) and -$8.35 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | - |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 108.00 Mn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 216.00 Mn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 685.00 Mn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | - |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | - |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 535.00 Mn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 51.00 Mn |
| 10 | SelectQuote | 72.35 Mn | 51.63 Mn | 160.17 Mn | -5.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.64 Mn |
| Mar 31, 2026 | 4.82 Mn |
| Dec 31, 2025 | 13.85 Mn |
| Sep 30, 2025 | -8.35 Mn |
| Jun 30, 2025 | 503,000.00 |
| Mar 31, 2025 | 2.71 Mn |
| Dec 31, 2024 | 9.82 Mn |
| Sep 30, 2024 | -18.51 Mn |
| Jun 30, 2024 | 4.17 Mn |
| Mar 31, 2024 | 3.21 Mn |
| Dec 31, 2023 | 14.29 Mn |
| Sep 30, 2023 | -6.04 Mn |
| Jun 30, 2023 | 12.16 Mn |
| Mar 31, 2023 | -26.87 Mn |
| Dec 31, 2022 | 11.52 Mn |
| Sep 30, 2022 | 6.48 Mn |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 1.85 Mn |
| Dec 31, 2021 | -19.14 Mn |
| Sep 30, 2021 | 16.18 Mn |
API Access
SelectQuote Change in Accured 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=change-in-accured-expenses&ticker=SLQT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SLQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();