Openlane (OPLN) Non Operating Interest Expenses (2010 - 2026)
Openlane's Non Operating Interest Expenses came in at $10 million for Q2 2026, up 222.6% from $3.1 million a year earlier but down 1.0% from the prior quarter.
Openlane (OPLN) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Openlane reported Non Operating Interest Expenses of $31.1 million, up 90.8% year-over-year; for FY2025, it was $18.1 million, down 17.0% from FY2024.
- Non Operating Interest Expenses has declined in each of the last seven years, with a five-year compound annual growth rate of -32.4% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $21.8 million in FY2024 (-13.5%), $25.2 million in FY2023 (-37.3%), $40.2 million in FY2022 (-68.0%) and $125.7 million in FY2021 (-2.0%).
- The five-year range for quarterly Non Operating Interest Expenses is $1.1 million (Q3 2025) to $35.4 million (Q4 2022).
- Year-over-year, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 37.8% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2026 (growth of 222.6%), and the weakest in Q4 2023 (a decline of 85.0%).
- Business Quant data shows OPLN's Non Operating Interest Expenses at $10.1 million (Q1 2026), $9.9 million (Q4 2025) and $1.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,924.29 Bn | 3,681.81 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,641.81 Bn | 1,344.33 Bn | 49.47 Bn | - |
| 3 | Netflix | 275.91 Bn | 237.21 Bn | 6.80 Bn | 184.70 Mn |
| 4 | Alibaba Group Holding | 235.81 Bn | 49.59 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 218.39 Bn | 195.58 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 140.20 Bn | 112.00 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 123.99 Bn | 57.04 Bn | - | 300.00 Mn |
| 8 | Spotify Technology | 119.36 Bn | 76.86 Bn | 1.86 Bn | -24.41 Mn |
| 9 | PDD Holdings | 110.55 Bn | -133.22 Bn | 9.45 Bn | - |
| 10 | Openlane | 4.36 Bn | 3.73 Bn | 248.20 Mn | 10.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.00 Mn |
| Mar 31, 2026 | 10.10 Mn |
| Dec 31, 2025 | 9.90 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 4.00 Mn |
| Dec 31, 2024 | 4.60 Mn |
| Sep 30, 2024 | 4.60 Mn |
| Jun 30, 2024 | 5.50 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 5.30 Mn |
| Sep 30, 2023 | 5.20 Mn |
| Jun 30, 2023 | 6.70 Mn |
| Mar 31, 2023 | 8.00 Mn |
| Dec 31, 2022 | 35.40 Mn |
| Sep 30, 2022 | 32.30 Mn |
| Jun 30, 2022 | 25.90 Mn |
| Mar 31, 2022 | 25.60 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Sep 30, 2021 | 31.90 Mn |
Openlane Non Operating Interest 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=non-operating-interest-expenses&ticker=OPLN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=OPLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();