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ECOSPHERE TECHNOLOGIES INC: financial reference

Explore ECOSPHERE TECHNOLOGIES INC financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Filing record ends 2017-04-17

The latest filing in this captured record is a 10-K filed 2017-04-17. No later filing is in the SEC companyfacts record captured on 2026-09-22. ECOSPHERE TECHNOLOGIES INC may have stopped filing, merged, or changed its reporting entity; nothing on this page describes its current status. Values are as reported at the time.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assets-2016-12-312,361,584USD2017-04-17
Total liabilities-2016-12-3115,141,890USD2017-04-17
Stockholders equity-2016-12-31-15,948,881USD2017-04-17
Cash and cash equivalents-2016-12-3118,984USD2017-04-17
Net income or loss2016-01-012016-12-31-8,055,966USD2017-04-17
Operating cash flow2014-01-012014-12-31-4,550,454USD2015-04-15
Capital expenditure payments2016-01-012016-12-31501,438USD2017-04-17
Revenue2016-01-012016-12-3191,157USD2017-04-17
Financing cash flow2014-01-012014-12-313,625,591USD2015-04-15
Investing cash flow2014-01-012014-12-31-102,988USD2015-04-15
Retained earnings or deficit-2016-12-31-139,872,236USD2017-04-17
Basic weighted-average shares2016-01-012016-12-31169,747,466shares2017-04-17
Diluted weighted-average shares2016-01-012016-12-31169,747,466shares2017-04-17
Basic earnings per share2016-01-012016-12-31-0.04USD/shares2017-04-17
Diluted earnings per share2016-01-012016-12-31-0.04USD/shares2017-04-17
Net property, plant and equipment-2016-12-311,114,646USD2017-04-17
Share-based compensation expense2016-01-012016-12-311,157,432USD2017-04-17
Operating income or loss2016-01-012016-12-31-5,018,831USD2017-04-17
Current assets-2016-12-31996,814USD2017-04-17
Interest expense2016-01-012016-12-311,127,820USD2017-04-17
Current liabilities-2016-12-3113,905,928USD2017-04-17
Current accounts payable-2016-12-311,570,018USD2017-04-17
Net finite-lived intangible assets-2016-12-31170,209USD2017-04-17
Net current accounts receivable-2015-12-3150,806USD2017-04-17
Operating expenses2011-01-012011-12-3115,582,966USD2012-03-15
Net inventory-2016-12-31950,604USD2017-04-17
Gross profit2012-01-012012-12-311,165,210USD2013-04-02
Cost of revenue2011-01-012011-12-3110,845,435USD2012-03-15
Selling, general and administrative expense2016-01-012016-12-314,660,217USD2017-04-17
Research and development expense2016-01-012016-12-31310,620USD2017-04-17
Common shares outstanding-2016-12-31173,713,047shares2017-04-17
Additional paid-in capital-2016-12-31122,176,226USD2017-04-17
Total equity including noncontrolling interests-2016-12-31-16,749,089USD2017-04-17
Gross property, plant and equipment-2016-12-313,396,306USD2017-04-17
Accumulated depreciation on property, plant and equipment-2016-12-312,281,660USD2017-04-17
Accrued current liabilities-2016-12-312,767,025USD2017-04-17
Profit or loss including noncontrolling interests2016-01-012016-12-31-7,973,214USD2017-04-17
Net income available to common stockholders2016-01-012016-12-31-7,557,198USD2017-04-17
Depreciation expense2016-01-012016-12-31341,952USD2017-04-17
Depreciation, depletion and amortization2016-01-012016-12-31353,561USD2017-04-17
Amortization of intangible assets2016-01-012016-12-3111,609USD2017-04-17
Other nonoperating income or expense2016-01-012016-12-311,541USD2017-04-17
Nonoperating income or expense2016-01-012016-12-31-2,954,383USD2017-04-17
Proceeds from issuing common stock2011-01-012011-12-310USD2012-03-15
Change in accounts receivable2016-01-012016-12-31-47,163USD2017-04-17
Change in inventories2016-01-012016-12-31473,227USD2017-04-17
Change in accounts payable2016-01-012016-12-31307,898USD2017-04-17

Filings

25 ECOSPHERE TECHNOLOGIES INC filings with published measures: what each annual or quarterly report tagged, with the periods it covered, as reported in that filing. The histories above show the latest-filed value per period.

Inspect the source

Entity
ECOSPHERE TECHNOLOGIES INC / CIK 0001071760
Captured
SEC response SHA-256
27fbe9a196a193e081fc2bfdc4c39fd7b0ef0f9c72738540628b94d3ff3a85b2

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.

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

with urlopen("https://canlicapital.com/company-data/0001071760.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"])))