DTE ENERGY CO: operating expenses
Operating expenses for DTE ENERGY CO. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All DTE ENERGY CO financial histories
What this measure means
Recurring operating costs under this accounting concept, generally excluding production costs included in cost of sales. Check filing presentation before combining expense subtotals.
Exact concept: us-gaap:OperatingExpenses. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2007-01-01 to 2009-12-31. The SEC response was captured on 2026-09-20.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2009-01-01 | 2009-12-31 | 6,765,000,000 | USD | 2010-02-23 | 10-K · 0000950123-10-015829 |
| 2008-01-01 | 2008-12-31 | 8,066,000,000 | USD | 2010-02-23 | 10-K · 0000950123-10-015829 |
| 2007-01-01 | 2007-12-31 | 6,870,000,000 | USD | 2010-02-23 | 10-K · 0000950123-10-015829 |
Related financial histories
- DTE ENERGY CO: total assets
- DTE ENERGY CO: stockholders equity
- DTE ENERGY CO: cash and cash equivalents
- DTE ENERGY CO: net income or loss
- DTE ENERGY CO: operating cash flow
- DTE ENERGY CO: revenue
- DTE ENERGY CO: financing cash flow
- DTE ENERGY CO: investing cash flow
- DTE ENERGY CO: retained earnings or deficit
- DTE ENERGY CO: basic weighted-average shares
- DTE ENERGY CO: diluted weighted-average shares
- DTE ENERGY CO: basic earnings per share
- DTE ENERGY CO: diluted earnings per share
- DTE ENERGY CO: income tax expense or benefit
- DTE ENERGY CO: net property, plant and equipment
- DTE ENERGY CO: operating income or loss
- DTE ENERGY CO: current assets
- DTE ENERGY CO: interest expense
- DTE ENERGY CO: current liabilities
- DTE ENERGY CO: current accounts payable
- DTE ENERGY CO: goodwill carrying amount
- DTE ENERGY CO: net finite-lived intangible assets
- DTE ENERGY CO: net current accounts receivable
- DTE ENERGY CO: common-stock repurchase payments
Inspect the source
- Entity
- DTE ENERGY CO / CIK 0000936340
- Captured
- 2026-09-20T05:09:45.319Z
- SEC response SHA-256
f35763759debdf4c5c3f30325dddb98d7c76e2b341a3bbccfae32e732c823fb8
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/0000936340.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"])))