Cars.com (CARS) Selling, General & Administrative (2016 - 2026)
Cars.com (CARS) recorded Selling, General & Administrative of $17.01 million in Q2 2026, down 17.2% from $20.53 million a year earlier and down 22.1% from the prior quarter.
Cars.com (CARS) Selling, General & Administrative (2016 - 2026) Analysis & Trends
On a TTM basis, Cars.com's Selling, General & Administrative came in at $82.38 million as of Jun 30, 2026, up 3.5% year-over-year; for FY2025, it was $91.12 million, up 8.5% from FY2024.
- Annual Selling, General & Administrative has increased for three straight years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $83.99 million in FY2024 (+15.0%), $73.02 million in FY2023 (+8.0%), $67.59 million in FY2022 (-8.1%) and $73.56 million in FY2021 (+24.6%).
- The Q2 2026 figure is the lowest quarterly Selling, General & Administrative since Q4 2024.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last eight quarters, with growth averaging 0.5%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 76.2% in Q4 2021, against a decline of 39.7% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.82 million (Q1 2026), $19.23 million (Q4 2025) and $24.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 6.46 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 5.61 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 498.85 Mn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | -1.87 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 136.00 Mn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 935.00 Mn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 217.00 Mn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | -345.00 Mn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 172.03 Mn |
| 10 | Cars.com | 540.34 Mn | 331.15 Mn | - | 17.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.01 Mn |
| Mar 31, 2026 | 21.82 Mn |
| Dec 31, 2025 | 19.23 Mn |
| Sep 30, 2025 | 24.33 Mn |
| Jun 30, 2025 | 20.53 Mn |
| Mar 31, 2025 | 20.89 Mn |
| Dec 31, 2024 | 16.64 Mn |
| Sep 30, 2024 | 21.51 Mn |
| Jun 30, 2024 | 22.98 Mn |
| Mar 31, 2024 | 22.86 Mn |
| Dec 31, 2023 | 19.28 Mn |
| Sep 30, 2023 | 17.79 Mn |
| Jun 30, 2023 | 17.65 Mn |
| Mar 31, 2023 | 18.30 Mn |
| Dec 31, 2022 | 16.13 Mn |
| Sep 30, 2022 | 17.69 Mn |
| Jun 30, 2022 | 17.21 Mn |
| Mar 31, 2022 | 16.56 Mn |
| Dec 31, 2021 | 26.76 Mn |
| Sep 30, 2021 | 17.92 Mn |
Cars.com 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=CARS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "CARS", "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=CARS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();