Openlane (OPLN) Operating Expenses (2010 - 2026)
Openlane's Operating Expenses was $487.1 million in Q2 2026, up 12.2% from $434.3 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Openlane (OPLN) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Openlane's Operating Expenses was $1.84 billion through Jun 30, 2026, up 12.2% year-over-year; for FY2025, it was $1.74 billion, up 8.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.61 billion in FY2024 (-12.3%), $1.83 billion in FY2023 (+27.7%), $1.43 billion in FY2022 (+8.4%) and $1.32 billion in FY2021 (+5.2%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q2 2023.
- Compared with a year earlier, Operating Expenses has increased for six straight quarters, with growth averaging 7.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2023 (growth of 81.2%); the worst was Q3 2021 (a decline of 37.3%).
- Per Business Quant data, OPLN's Operating Expenses in the three quarters before Q2 2026 was $454.1 million (Q1 2026), $451.8 million (Q4 2025) and $443.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,054.36 Bn | 3,811.89 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,800.84 Bn | 1,503.36 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 278.25 Bn | 238.45 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 244.85 Bn | 58.63 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 227.58 Bn | 204.77 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 140.12 Bn | 111.92 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 124.19 Bn | 57.24 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.55 Bn | -132.22 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Openlane | 4.34 Bn | 3.71 Bn | 248.20 Mn | 487.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 487.10 Mn |
| Mar 31, 2026 | 454.10 Mn |
| Dec 31, 2025 | 451.80 Mn |
| Sep 30, 2025 | 443.40 Mn |
| Jun 30, 2025 | 434.30 Mn |
| Mar 31, 2025 | 408.40 Mn |
| Dec 31, 2024 | 376.00 Mn |
| Sep 30, 2024 | 417.30 Mn |
| Jun 30, 2024 | 419.90 Mn |
| Mar 31, 2024 | 393.10 Mn |
| Dec 31, 2023 | 382.70 Mn |
| Sep 30, 2023 | 395.60 Mn |
| Jun 30, 2023 | 655.70 Mn |
| Mar 31, 2023 | 397.50 Mn |
| Dec 31, 2022 | 285.10 Mn |
| Sep 30, 2022 | 343.00 Mn |
| Jun 30, 2022 | 361.90 Mn |
| Mar 31, 2022 | 355.70 Mn |
| Dec 31, 2021 | 324.60 Mn |
| Sep 30, 2021 | 317.90 Mn |
API Access
Openlane 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=OPLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OPLN", "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=OPLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();