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Bentley Systems, Incorporated: current assets

Bentley Systems current assets: $539.0 million at 2025-12-31, up 21.9% on the year. 7 values since 2019, each linked to its SEC filing. In original units.

All Bentley Systems, Incorporated financial histories

At a glance

Bentley Systems reported current assets of $539.0 million at 2025-12-31, up 21.9% from $442.1 million a year earlier. From 2019 to 2025 it grew at a compound 7.3% a year, from $353.6 million to $539.0 million. Across the last five reported years it ranged from $415.9 million (2022-12-31) to $615.8 million (2021-12-31). That was 15.2% of total assets ($3.56 billion) at the same date.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Assets classified as current under the normal operating cycle or one-year boundary. Not all current assets can be converted immediately into cash.

Exact concept: us-gaap:AssetsCurrent. 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 2019-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Current assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-31539,033,000USD2026-02-2610-K · 0001031308-26-000007 SEC
-2024-12-31442,073,000USD2026-02-2610-K · 0001031308-26-000007 SEC
-2023-12-31419,557,000USD2025-02-2610-K · 0001031308-25-000002 SEC
-2022-12-31415,895,000USD2024-02-2710-K · 0001031308-24-000002 SEC
-2021-12-31615,831,000USD2023-02-2810-K · 0001628280-23-005568 SEC
-2020-12-31340,258,000USD2022-03-0110-K · 0001628280-22-004474 SEC
-2019-12-31353,558,000USD2021-03-0210-K · 0001628280-21-003727 SEC

Related BENTLEY SYSTEMS, INCORPORATED histories

All 56 Bentley Systems histories

Inspect the source

Entity
BENTLEY SYSTEMS, INCORPORATED / CIK 0001031308
Captured
SEC response SHA-256
a136a9cffbf9faf7fbe441fe73a8c6d985d0e794cd5896a8b7738b8eaba8b742

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001031308.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"])))