Openlane (OPLN) Interest Expenses (2010 - 2026)
Openlane (OPLN) recorded Interest Expenses of $35.7 million in Q2 2026, up 19.0% from $30 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Openlane (OPLN) Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Openlane's Interest Expenses came in at $137 million as of Jun 30, 2026, up 5.5% year-over-year; for FY2025, it was $128 million, down 11.9% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $145.3 million in FY2024 (-6.7%), $155.8 million in FY2023 (+30.7%), $119.2 million in FY2022 (-5.2%) and $125.7 million in FY2021 (-2.0%).
- Quarterly Interest Expenses has ranged from $25.6 million in Q1 2022 to $39.7 million in Q1 2024 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 49.8% in Q2 2023, against a decline of 20.4% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $34.9 million (Q1 2026), $37.2 million (Q4 2025) and $29.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,071.44 Bn | 3,828.96 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,777.07 Bn | 1,479.59 Bn | 49.47 Bn | - |
| 3 | Netflix | 272.74 Bn | 232.94 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 242.17 Bn | 55.95 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 225.98 Bn | 203.16 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 137.80 Bn | 109.60 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 121.57 Bn | 54.62 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.14 Bn | -133.64 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 107.49 Bn | 64.99 Bn | 1.86 Bn | -24.41 Mn |
| 10 | Openlane | 4.30 Bn | 3.67 Bn | 248.20 Mn | 35.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.70 Mn |
| Mar 31, 2026 | 34.90 Mn |
| Dec 31, 2025 | 37.20 Mn |
| Sep 30, 2025 | 29.20 Mn |
| Jun 30, 2025 | 30.00 Mn |
| Mar 31, 2025 | 31.60 Mn |
| Dec 31, 2024 | 32.90 Mn |
| Sep 30, 2024 | 35.30 Mn |
| Jun 30, 2024 | 37.40 Mn |
| Mar 31, 2024 | 39.70 Mn |
| Dec 31, 2023 | 39.30 Mn |
| Sep 30, 2023 | 39.40 Mn |
| Jun 30, 2023 | 38.80 Mn |
| Mar 31, 2023 | 38.30 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 |
API Access
Openlane 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=interest-expenses&ticker=OPLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=OPLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();