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FUELCELL ENERGY, INC.: selling, general and administrative expense

Selling, general and administrative expense for FUELCELL ENERGY, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All FUELCELL ENERGY, INC. financial histories

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2008-11-01 to 2025-10-31. The SEC response was captured on 2026-09-20.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-11-012025-10-3160,743,000USD2025-12-1810-K · 0001104659-25-122302
2023-11-012024-10-3164,604,000USD2025-12-1810-K · 0001104659-25-122302
2022-11-012023-10-3164,528,000USD2025-12-1810-K · 0001104659-25-122302
2021-11-012022-10-3179,620,000USD2024-12-2710-K · 0001558370-24-016497
2020-11-012021-10-3137,948,000USD2023-12-1910-K · 0001558370-23-019892
2019-11-012020-10-3126,644,000USD2022-12-2010-K · 0001558370-22-018810
2018-11-012019-10-3131,874,000USD2021-12-2910-K · 0001558370-21-017054
2017-11-012018-10-3124,908,000USD2021-01-2110-K · 0001564590-21-001679
2016-11-012017-10-3125,916,000USD2020-01-2210-K · 0001564590-20-001558
2015-11-012016-10-3125,150,000USD2019-01-1010-K · 0001564590-19-000521
2014-11-012015-10-3124,226,000USD2018-01-1110-K · 0001564590-18-000401
2013-11-012014-10-3122,797,000USD2017-01-1210-K · 0000886128-17-000007
2012-11-012013-10-3121,218,000USD2016-01-0810-K · 0000886128-16-000032
2011-11-012012-10-3118,220,000USD2015-01-0910-K · 0000886128-15-000003
2010-11-012011-10-3116,299,000USD2014-01-0610-K · 0000886128-14-000003
2009-11-012010-10-3117,150,000USD2013-01-1510-K · 0000886128-13-000002
2008-11-012009-10-3117,194,000USD2012-01-1710-K · 0000950123-12-000847

Related financial histories

Inspect the source

Entity
FUELCELL ENERGY, INC. / CIK 0000886128
Captured
2026-09-20T05:02:53.349Z
SEC response SHA-256
fd3997da1474791e9787ed8a6e99cc33d09f4089fbd0e55abe3d46e75f679896

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/0000886128.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"])))