Skyline Bankshares (SLBK) Total Non-Current Liabilities (2015 - 2026)
Skyline Bankshares' Total Non-Current Liabilities was $1.21 billion in Q2 2026, up 2.6% from $1.18 billion a year earlier and up 1.4% from the prior quarter.
Skyline Bankshares (SLBK) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Skyline Bankshares came in at $1.18 billion, up 5.0% from FY2024.
- Total Non-Current Liabilities has now increased for eight consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.12 billion in FY2024 (+17.3%), $956.77 million in FY2023 (+3.9%), $920.42 million in FY2022 (+1.5%) and $906.5 million in FY2021 (+18.4%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2015.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 11 straight quarters, with growth averaging 12.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2021 (growth of 21.8%); the worst was Q2 2023 (a decline of 3.5%).
- Per Business Quant data, SLBK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.19 billion (Q1 2026), $1.18 billion (Q4 2025) and $1.2 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | Skyline Bankshares | 157.40 Mn | 157.40 Mn | - | 1.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Bn |
| Mar 31, 2026 | 1.19 Bn |
| Dec 31, 2025 | 1.18 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.18 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 1.11 Bn |
| Jun 30, 2024 | 973.76 Mn |
| Mar 31, 2024 | 961.12 Mn |
| Dec 31, 2023 | 956.77 Mn |
| Sep 30, 2023 | 935.99 Mn |
| Jun 30, 2023 | 924.01 Mn |
| Mar 31, 2023 | 930.72 Mn |
| Dec 31, 2022 | 920.42 Mn |
| Sep 30, 2022 | 949.11 Mn |
| Jun 30, 2022 | 957.10 Mn |
| Mar 31, 2022 | 924.43 Mn |
| Dec 31, 2021 | 906.50 Mn |
| Sep 30, 2021 | 888.37 Mn |
Skyline Bankshares 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=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SLBK", "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=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();