Sterling Bancorp, Inc.: total assets
Total assets for Sterling Bancorp, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Sterling Bancorp, Inc. financial histories
What this measure means
Resources recognized on the balance sheet. Book assets are not the market value of the business.
Exact concept: us-gaap:Assets. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2017-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2024-12-31 | 2,436,512,000 | USD | 2025-03-14 | 10-K · 0001410578-25-000346 |
| At date | 2023-12-31 | 2,416,003,000 | USD | 2025-03-14 | 10-K · 0001410578-25-000346 |
| At date | 2022-12-31 | 2,444,735,000 | USD | 2024-03-14 | 10-K · 0001104659-24-034403 |
| At date | 2021-12-31 | 2,876,830,000 | USD | 2023-03-16 | 10-K · 0001104659-23-033182 |
| At date | 2020-12-31 | 3,914,045,000 | USD | 2022-03-31 | 10-K · 0001104659-22-040965 |
| At date | 2019-12-31 | 3,244,884,000 | USD | 2021-03-26 | 10-K · 0001104659-21-042532 |
| At date | 2018-12-31 | 3,196,774,000 | USD | 2020-10-06 | 10-K · 0001047469-20-005126 |
| At date | 2017-12-31 | 2,961,958,000 | USD | 2019-03-18 | 10-K · 0001047469-19-001377 |
Related financial histories
- Sterling Bancorp, Inc.: total liabilities
- Sterling Bancorp, Inc.: stockholders equity
- Sterling Bancorp, Inc.: net income or loss
- Sterling Bancorp, Inc.: operating cash flow
- Sterling Bancorp, Inc.: capital expenditure payments
- Sterling Bancorp, Inc.: financing cash flow
- Sterling Bancorp, Inc.: investing cash flow
- Sterling Bancorp, Inc.: retained earnings or deficit
- Sterling Bancorp, Inc.: basic weighted-average shares
- Sterling Bancorp, Inc.: diluted weighted-average shares
- Sterling Bancorp, Inc.: basic earnings per share
- Sterling Bancorp, Inc.: diluted earnings per share
- Sterling Bancorp, Inc.: income tax expense or benefit
- Sterling Bancorp, Inc.: net property, plant and equipment
- Sterling Bancorp, Inc.: share-based compensation expense
- Sterling Bancorp, Inc.: interest expense
Inspect the source
- Entity
- Sterling Bancorp, Inc. / CIK 0001680379
- Captured
- 2026-09-21T17:23:41.025Z
- SEC response SHA-256
87de199d04836a5d13235c0f663b662f6976da703257606e448a6f03d206c336
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001680379.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))