Skyline Bankshares (SLBK) Cash from Operations (2015 - 2026)
Skyline Bankshares (SLBK) reported Cash from Operations of $5.25 million for Q2 2026, up 11.7% from $4.7 million a year earlier but down 16.9% from the prior quarter.
Skyline Bankshares (SLBK) Cash from Operations (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Skyline Bankshares' Cash from Operations came in at $20.72 million, up 16.0% year-over-year; for FY2025, it came in at $18.77 million, up 47.4% from FY2024.
- Cash from Operations has increased for five consecutive years, with a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- By year, Cash from Operations came in at $12.74 million in FY2024 (+12.3%), $11.34 million in FY2023 (+6.7%), $10.63 million in FY2022 (+11.3%) and $9.55 million in FY2021 (+45.6%).
- Five-year quarterly Cash from Operations spans a low of -$4.98 million in Q2 2023 and a high of $11.31 million in Q1 2023.
- Year over year, Cash from Operations gained in seven of the last eight quarters, with growth averaging 56.2%.
- The high point for year-over-year Cash from Operations in five years was Q2 2022 (growth of 274.2%); the low point was Q1 2024 (a decline of 75.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.31 million (Q1 2026), $4.35 million (Q4 2025) and $4.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Skyline Bankshares | 160.81 Mn | 160.81 Mn | - | 5.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.25 Mn |
| Mar 31, 2026 | 6.31 Mn |
| Dec 31, 2025 | 4.35 Mn |
| Sep 30, 2025 | 4.81 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | 4.92 Mn |
| Dec 31, 2024 | 4.49 Mn |
| Sep 30, 2024 | 3.75 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 2.77 Mn |
| Dec 31, 2023 | 2.98 Mn |
| Sep 30, 2023 | 2.04 Mn |
| Jun 30, 2023 | -4.98 Mn |
| Mar 31, 2023 | 11.31 Mn |
| Dec 31, 2022 | 2.72 Mn |
| Sep 30, 2022 | 2.47 Mn |
| Jun 30, 2022 | 4.61 Mn |
| Mar 31, 2022 | 835,000.00 |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | 3.13 Mn |
Skyline Bankshares Cash from Operations 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=cash-from-operations&ticker=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();