Openlane (OPLN) Total Non-Current Liabilities (2010 - 2026)
Openlane (OPLN) reported Total Non-Current Liabilities of $585 million for Q2 2026, up 480.4% from $100.8 million a year earlier but down 0.7% from the prior quarter.
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Analysis
Openlane (OPLN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Openlane posted Total Non-Current Liabilities of $589.9 million, up 480.6% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -24.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $101.6 million in FY2024 (-67.0%), $308 million in FY2023 (-10.9%), $345.8 million in FY2022 (-85.2%) and $2.34 billion in FY2021 (-1.9%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $100 million in Q3 2025 and a high of $2.35 billion in Q3 2021.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 155.5% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2026 (growth of 484.7%); the low point was Q3 2022 (a decline of 85.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $589.4 million (Q1 2026), $589.9 million (Q4 2025) and $100 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,039.48 Bn | 3,797.00 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,803.04 Bn | 1,505.56 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 274.55 Bn | 234.74 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 241.22 Bn | 55.00 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 230.34 Bn | 207.52 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 139.40 Bn | 111.19 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 121.87 Bn | 54.92 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 109.57 Bn | -134.21 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 108.05 Bn | 65.55 Bn | 1.86 Bn | 6.10 Bn |
| 10 | Openlane | 4.34 Bn | 3.71 Bn | 248.20 Mn | 585.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 585.00 Mn |
| Mar 31, 2026 | 589.40 Mn |
| Dec 31, 2025 | 589.90 Mn |
| Sep 30, 2025 | 100.00 Mn |
| Jun 30, 2025 | 100.80 Mn |
| Mar 31, 2025 | 100.80 Mn |
| Dec 31, 2024 | 101.60 Mn |
| Sep 30, 2024 | 100.90 Mn |
| Jun 30, 2024 | 101.00 Mn |
| Mar 31, 2024 | 302.00 Mn |
| Dec 31, 2023 | 308.00 Mn |
| Sep 30, 2023 | 302.50 Mn |
| Jun 30, 2023 | 304.30 Mn |
| Mar 31, 2023 | 343.10 Mn |
| Dec 31, 2022 | 345.80 Mn |
| Sep 30, 2022 | 334.00 Mn |
| Jun 30, 2022 | 336.70 Mn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 2.34 Bn |
| Sep 30, 2021 | 2.35 Bn |
API Access
Openlane Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=OPLN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=OPLN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();