Bumble Inc.: total assets
Total assets for Bumble Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Bumble 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 2020-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-12-31 | 1,425,078,000 | USD | 2026-03-16 | 10-K · 0001830043-26-000027 |
| At date | 2024-12-31 | 2,524,887,000 | USD | 2026-03-16 | 10-K · 0001830043-26-000027 |
| At date | 2023-12-31 | 3,625,127,000 | USD | 2025-02-28 | 10-K · 0000950170-25-030151 |
| At date | 2022-12-31 | 3,692,621,000 | USD | 2024-02-28 | 10-K · 0000950170-24-022104 |
| At date | 2021-12-31 | 3,776,996,000 | USD | 2023-02-28 | 10-K · 0000950170-23-005080 |
| At date | 2020-12-31 | 3,637,268,000 | USD | 2022-03-16 | 10-K · 0000950170-22-003960 |
Related financial histories
- Bumble Inc.: total liabilities
- Bumble Inc.: stockholders equity
- Bumble Inc.: cash and cash equivalents
- Bumble Inc.: net income or loss
- Bumble Inc.: operating cash flow
- Bumble Inc.: contract revenue excluding tax
- Bumble Inc.: financing cash flow
- Bumble Inc.: investing cash flow
- Bumble Inc.: retained earnings or deficit
- Bumble Inc.: basic weighted-average shares
- Bumble Inc.: diluted weighted-average shares
- Bumble Inc.: basic earnings per share
- Bumble Inc.: diluted earnings per share
- Bumble Inc.: income tax expense or benefit
- Bumble Inc.: net property, plant and equipment
- Bumble Inc.: share-based compensation expense
- Bumble Inc.: operating income or loss
- Bumble Inc.: current assets
- Bumble Inc.: current liabilities
- Bumble Inc.: current accounts payable
- Bumble Inc.: goodwill carrying amount
- Bumble Inc.: net finite-lived intangible assets
- Bumble Inc.: net current accounts receivable
- Bumble Inc.: common-stock repurchase payments
- Bumble Inc.: cost of revenue
Inspect the source
- Entity
- Bumble Inc. / CIK 0001830043
- Captured
- 2026-09-21T17:30:12.815Z
- SEC response SHA-256
fcc96603a3811a6d16e7649a7c4f1e0ac51c35b514973080a6680b68ca0bdf77
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/0001830043.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"])))