Sonic Automotive (SAH) Cash & Equivalents (2010 - 2026)
Sonic Automotive (SAH) recorded Cash & Equivalents of $10.7 million in Q3 2026, down 88.0% from $89.4 million a year earlier and down 44.3% from the prior quarter.
Sonic Automotive (SAH) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Sonic Automotive reported Cash & Equivalents of $6.3 million, down 85.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -48.3% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $44 million in FY2024 (+52.2%), $28.9 million in FY2023 (-87.4%), $229.2 million in FY2022 (-23.4%) and $299.4 million in FY2021 (+75.8%).
- Quarterly Cash & Equivalents has ranged from $5.7 million in Q1 2026 to $360.2 million in Q1 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for four consecutive quarters, with growth averaging 63.1% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 408.0% in Q3 2025, against a decline of 91.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $19.2 million (Q2 2026), $5.7 million (Q1 2026) and $6.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | 55.78 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 3.05 Bn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 326.12 Mn |
| 10 | Sonic Automotive | 1.95 Bn | 1.91 Bn | 617.50 Mn | 10.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.70 Mn |
| Jun 30, 2026 | 19.20 Mn |
| Mar 31, 2026 | 5.70 Mn |
| Dec 31, 2025 | 6.30 Mn |
| Sep 30, 2025 | 89.40 Mn |
| Jun 30, 2025 | 110.40 Mn |
| Mar 31, 2025 | 64.60 Mn |
| Dec 31, 2024 | 44.00 Mn |
| Sep 30, 2024 | 17.60 Mn |
| Jun 30, 2024 | 67.20 Mn |
| Mar 31, 2024 | 15.10 Mn |
| Dec 31, 2023 | 28.90 Mn |
| Sep 30, 2023 | 34.60 Mn |
| Jun 30, 2023 | 119.70 Mn |
| Mar 31, 2023 | 160.20 Mn |
| Dec 31, 2022 | 229.20 Mn |
| Sep 30, 2022 | 139.00 Mn |
| Jun 30, 2022 | 327.10 Mn |
| Mar 31, 2022 | 360.20 Mn |
| Dec 31, 2021 | 299.40 Mn |
Sonic Automotive Cash & Equivalents 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=cash-and-equivalents&ticker=SAH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SAH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SAH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();