Vroom (VRM) Operating Expenses (2019 - 2026)
Vroom's Operating Expenses came in at $29.1 million for Q2 2026, down 5.5% from $30.8 million a year earlier and down 8.5% from the prior quarter.
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Analysis
Vroom (VRM) Operating Expenses (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vroom reported Operating Expenses of $112.73 million, down 26.6% year-over-year; for FY2025, it came in at $114.04 million, down 36.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -14.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $180.78 million in FY2024 (+4.1%), $173.63 million in FY2023 (-3.5%), $179.97 million in FY2022 (-67.1%) and $547.82 million in FY2021 (+123.1%).
- The five-year range for quarterly Operating Expenses is $24.82 million (Q3 2025) to $187.99 million (Q1 2022).
- Year-over-year, Operating Expenses increased in two of the last six quarters, with an average decline of 18.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 143.3%), and the weakest in Q2 2023 (a decline of 72.6%).
- Business Quant data shows VRM's Operating Expenses at $31.79 million (Q1 2026), $27.03 million (Q4 2025) and $24.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Orix | 43.85 Bn | 44.35 Bn | - | 4.66 Bn |
| 2 | Rocket Companies | 43.67 Bn | 29.35 Bn | - | 2.50 Bn |
| 3 | Royalty Pharma | 33.56 Bn | 33.48 Bn | - | 541.02 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | 2.07 Bn |
| 5 | Synchrony Financial | 23.24 Bn | -44.73 Bn | - | 1.33 Bn |
| 6 | Affirm Holdings | 22.66 Bn | 16.35 Bn | - | 1.02 Bn |
| 7 | Royal Gold | 20.35 Bn | 19.57 Bn | 390.45 Mn | 173.18 Mn |
| 8 | Annaly Capital Management | 15.27 Bn | 6.37 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.74 Bn | 11.17 Bn | - | - |
| 10 | Vroom | 51.30 Mn | -231.42 Mn | - | 29.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.10 Mn |
| Mar 31, 2026 | 31.79 Mn |
| Dec 31, 2025 | 27.03 Mn |
| Sep 30, 2025 | 24.82 Mn |
| Jun 30, 2025 | 30.80 Mn |
| Mar 31, 2025 | 31.40 Mn |
| Sep 30, 2024 | 44.86 Mn |
| Jun 30, 2024 | 46.44 Mn |
| Mar 31, 2024 | 48.30 Mn |
| Dec 31, 2023 | 43.61 Mn |
| Sep 30, 2023 | 40.94 Mn |
| Jun 30, 2023 | 41.88 Mn |
| Mar 31, 2023 | 96.54 Mn |
| Dec 31, 2022 | 90.76 Mn |
| Sep 30, 2022 | 134.64 Mn |
| Jun 30, 2022 | 152.99 Mn |
| Mar 31, 2022 | 187.99 Mn |
| Dec 31, 2021 | 166.34 Mn |
| Sep 30, 2021 | 148.72 Mn |
| Jun 30, 2021 | 123.90 Mn |
API Access
Vroom 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=VRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VRM", "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=VRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();