SelectQuote (SLQT) Total Liabilities (2019 - 2026)
SelectQuote's Total Liabilities came in at $935.02 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.1% from $898.21 million a year earlier but down 1.6% from the prior quarter.
SelectQuote (SLQT) Total Liabilities (2019 - 2026) Analysis & Trends
Going back to fiscal Q4 2019, SelectQuote's Total Liabilities data covers 26 quarters.
- Total Liabilities has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 4.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $898.21 million in FY2025 (+2.4%), $877.11 million in FY2024 (+0.6%), $872.28 million in FY2023 (-3.0%) and $898.95 million in FY2022 (+18.8%).
- The five-year range for quarterly Total Liabilities is $766.67 million (fiscal Q1 2022) to $992.6 million (fiscal Q2 2026).
- Year-over-year, Total Liabilities has increased for ten consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2022 (growth of 51.4%), and the weakest in fiscal Q3 2023 (a decline of 4.9%).
- Business Quant data shows SLQT's Total Liabilities at $949.98 million (Q3 2026), $992.6 million (Q2 2026) and $901.91 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - | 751.17 Bn |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - | 43.66 Bn |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - | 58.06 Bn |
| 10 | SelectQuote | 72.35 Mn | 51.63 Mn | 160.17 Mn | 935.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 935.02 Mn |
| Mar 31, 2026 | 949.98 Mn |
| Dec 31, 2025 | 992.60 Mn |
| Sep 30, 2025 | 901.91 Mn |
| Jun 30, 2025 | 898.21 Mn |
| Mar 31, 2025 | 945.62 Mn |
| Dec 31, 2024 | 953.17 Mn |
| Sep 30, 2024 | 877.43 Mn |
| Jun 30, 2024 | 877.11 Mn |
| Mar 31, 2024 | 898.33 Mn |
| Dec 31, 2023 | 899.40 Mn |
| Sep 30, 2023 | 853.41 Mn |
| Jun 30, 2023 | 872.28 Mn |
| Mar 31, 2023 | 896.54 Mn |
| Dec 31, 2022 | 916.15 Mn |
| Sep 30, 2022 | 892.62 Mn |
| Jun 30, 2022 | 898.95 Mn |
| Mar 31, 2022 | 942.45 Mn |
| Dec 31, 2021 | 955.58 Mn |
| Sep 30, 2021 | 766.67 Mn |
SelectQuote Total Liabilities 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=total-liabilities&ticker=SLQT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SLQT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();