CarGurus (CARG) Operating Expenses (2016 - 2026)
CarGurus (CARG) reported Operating Expenses of $168.12 million for Q2 2026, up 15.3% from $145.77 million a year earlier but down 8.9% from the prior quarter.
CarGurus (CARG) Operating Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CarGurus' Operating Expenses came in at $616.24 million, up 40.4% year-over-year; for FY2025, it was $597.07 million, up 4.6% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $570.55 million in FY2024 (+10.5%), $516.28 million in FY2023 (-6.0%), $549.08 million in FY2022 (+7.9%) and $509.09 million in FY2021 (+23.9%).
- Five-year quarterly Operating Expenses spans a low of -$9.27 million in Q4 2024 and a high of $276.03 million in Q2 2024.
- Year over year, Operating Expenses gained in four of the last six quarters, with growth averaging 0.8%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 88.5%); the low point was Q2 2025 (a decline of 47.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $184.54 million (Q1 2026), $104.72 million (Q4 2025) and $158.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 640.46 Mn |
| 10 | CarGurus | 2.79 Bn | 2.23 Bn | 231.10 Mn | 168.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.12 Mn |
| Mar 31, 2026 | 184.54 Mn |
| Dec 31, 2025 | 104.72 Mn |
| Sep 30, 2025 | 158.86 Mn |
| Jun 30, 2025 | 145.77 Mn |
| Mar 31, 2025 | 147.24 Mn |
| Dec 31, 2024 | -9.27 Mn |
| Sep 30, 2024 | 155.12 Mn |
| Jun 30, 2024 | 276.03 Mn |
| Mar 31, 2024 | 148.68 Mn |
| Dec 31, 2023 | 87.76 Mn |
| Sep 30, 2023 | 141.20 Mn |
| Jun 30, 2023 | 146.40 Mn |
| Mar 31, 2023 | 140.92 Mn |
| Dec 31, 2022 | 107.42 Mn |
| Sep 30, 2022 | 122.13 Mn |
| Jun 30, 2022 | 164.31 Mn |
| Mar 31, 2022 | 155.22 Mn |
| Dec 31, 2021 | 135.81 Mn |
| Sep 30, 2021 | 122.81 Mn |
CarGurus 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=CARG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CARG", "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=CARG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();