Openlane (OPLN) Cost of Revenue (2010 - 2026)
Openlane (OPLN) posted Cost of Revenue of $306.4 million for Q2 2026, up 20.4% from $254.4 million a year earlier and up 12.8% from the prior quarter.
Openlane (OPLN) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Openlane was $1.12 billion, up 13.2% year-over-year; for FY2025, it came in at $1.04 billion, up 8.9% from FY2024.
- Annual Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Openlane's Cost of Revenue was $956.3 million in FY2024 (+10.2%), $867.6 million in FY2023 (+4.0%), $834.3 million in FY2022 (+5.3%) and $792.5 million in FY2021 (+6.5%).
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2020.
- On a year-over-year basis, Cost of Revenue has increased in each of the last nine quarters, with growth averaging 13.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q2 2026, with growth of 20.4%; the weakest was Q3 2021, with a decline of 43.7%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $271.7 million (Q1 2026), $275.5 million (Q4 2025) and $270.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,890.87 Bn | 3,648.40 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,637.40 Bn | 1,339.92 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 270.40 Bn | 231.70 Bn | 6.80 Bn | 6.08 Bn |
| 4 | Alibaba Group Holding | 231.40 Bn | 53.61 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 218.48 Bn | 195.66 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 136.01 Bn | 107.99 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Spotify Technology | 120.19 Bn | 77.10 Bn | 1.89 Bn | 3.83 Bn |
| 8 | Booking Holdings | 117.09 Bn | 50.14 Bn | - | - |
| 9 | PDD Holdings | 112.51 Bn | -131.27 Bn | 9.45 Bn | 7.08 Bn |
| 10 | Openlane | 4.64 Bn | 4.01 Bn | 248.20 Mn | 306.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.40 Mn |
| Mar 31, 2026 | 271.70 Mn |
| Dec 31, 2025 | 275.50 Mn |
| Sep 30, 2025 | 270.20 Mn |
| Jun 30, 2025 | 254.40 Mn |
| Mar 31, 2025 | 241.60 Mn |
| Dec 31, 2024 | 244.50 Mn |
| Sep 30, 2024 | 252.00 Mn |
| Jun 30, 2024 | 245.90 Mn |
| Mar 31, 2024 | 213.90 Mn |
| Dec 31, 2023 | 204.80 Mn |
| Sep 30, 2023 | 216.00 Mn |
| Jun 30, 2023 | 222.60 Mn |
| Mar 31, 2023 | 224.20 Mn |
| Dec 31, 2022 | 202.00 Mn |
| Sep 30, 2022 | 209.60 Mn |
| Jun 30, 2022 | 211.90 Mn |
| Mar 31, 2022 | 210.80 Mn |
| Dec 31, 2021 | 194.20 Mn |
| Sep 30, 2021 | 185.70 Mn |
Openlane Cost of Revenue 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=cost-of-revenue&ticker=OPLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OPLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();