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SOUTH DAKOTA SOYBEAN PROCESSORS LLC: 10-Q filed 2019-08-09

What SOUTH DAKOTA SOYBEAN PROCESSORS LLC reported in its quarterly report filed 2019-08-09 (fiscal Q2 2019): 28 published measures, 76 facts as tagged in accession 0001163609-19-000020.

This filing

Form
10-Q (quarterly report)
Filed
2019-08-09
Fiscal period
fiscal Q2 2019
Accession
0001163609-19-000020 on SEC EDGAR

Values are as tagged in this filing. A later filing can restate them; each measure links to its history page, which shows the latest-filed value per period. All SOUTH DAKOTA SOYBEAN PROCESSORS LLC filings.

Reported measures

Total assets

Resources recognized on the balance sheet. Book assets are not the market value of the business.

PeriodValueUnitDays
At 2019-06-30137,776,318USD
At 2018-12-31144,854,183USD

Cash and cash equivalents

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

PeriodValueUnitDays
At 2019-06-301,001,672USD
At 2018-12-317,197,082USD
At 2018-06-30710,794USD
At 2017-12-31683,523USD

Net income or loss

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

PeriodValueUnitDays
2019-04-01 to 2019-06-305,782,002USD91
2019-01-01 to 2019-06-3010,531,879USD181
2018-04-01 to 2018-06-304,654,504USD91
2018-01-01 to 2018-06-303,098,265USD181

Operating cash flow

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

PeriodValueUnitDays
2019-01-01 to 2019-06-30-915,425USD181
2018-01-01 to 2018-06-30-7,706,597USD181

Capital expenditure payments

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

PeriodValueUnitDays
2019-01-01 to 2019-06-303,207,332USD181
2018-01-01 to 2018-06-302,965,921USD181

Contract revenue excluding tax

Revenue from customer contracts excluding assessed taxes under this specific taxonomy concept. It is not automatically comparable to older revenue tags.

PeriodValueUnitDays
2019-04-01 to 2019-06-30100,331,589USD91
2019-01-01 to 2019-06-30192,298,396USD181
2018-04-01 to 2018-06-3093,160,702USD91
2018-01-01 to 2018-06-30191,787,629USD181

Financing cash flow

Net cash from financing activities, including borrowing, repayments and transactions with owners. A positive amount does not establish operating profitability.

PeriodValueUnitDays
2019-01-01 to 2019-06-30-2,169,741USD181
2018-01-01 to 2018-06-3015,400,419USD181

Investing cash flow

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

PeriodValueUnitDays
2019-01-01 to 2019-06-30-3,110,244USD181
2018-01-01 to 2018-06-30-7,666,551USD181

Income tax expense or benefit

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

PeriodValueUnitDays
2019-04-01 to 2019-06-300USD91
2019-01-01 to 2019-06-30600USD181
2018-04-01 to 2018-06-300USD91
2018-01-01 to 2018-06-301,960USD181

Net property, plant and equipment

Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.

PeriodValueUnitDays
At 2019-06-3060,086,816USD
At 2018-12-3159,068,014USD

Operating income or loss

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

PeriodValueUnitDays
2019-04-01 to 2019-06-305,949,633USD91
2019-01-01 to 2019-06-3010,403,846USD181
2018-04-01 to 2018-06-304,606,046USD91
2018-01-01 to 2018-06-303,192,557USD181

Current assets

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

PeriodValueUnitDays
At 2019-06-3060,774,376USD
At 2018-12-3168,306,549USD

Interest expense

Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.

PeriodValueUnitDays
2019-04-01 to 2019-06-30267,730USD91
2019-01-01 to 2019-06-30460,289USD181
2018-04-01 to 2018-06-30320,759USD91
2018-01-01 to 2018-06-30583,731USD181

Current liabilities

Obligations classified as current under the operating-cycle or one-year boundary. The balance includes more than short-term borrowing.

PeriodValueUnitDays
At 2019-06-3036,832,673USD
At 2018-12-3148,880,553USD

Current accounts payable

Current amounts owed to suppliers for goods and services received. This is one component of current liabilities, not all accrued obligations.

PeriodValueUnitDays
At 2019-06-301,532,712USD
At 2018-12-312,325,404USD

Net current accounts receivable

Current customer receivables after the allowance for credit loss. The balance is not cash collected or a guarantee of collection.

PeriodValueUnitDays
At 2019-06-3022,132,840USD
At 2018-12-3120,550,438USD

Net inventory

Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.

PeriodValueUnitDays
At 2019-06-3035,846,962USD
At 2018-12-3136,716,014USD

Gross profit

Revenue less the costs directly attributed to the goods or services sold. It precedes other operating expenses and is not net income.

PeriodValueUnitDays
2019-04-01 to 2019-06-306,876,947USD91
2019-01-01 to 2019-06-3012,336,361USD181
2018-04-01 to 2018-06-305,419,357USD91
2018-01-01 to 2018-06-304,974,213USD181

Cost of revenue

Costs attributed to goods produced and sold and services provided during the period. This is not the sum of every operating expense.

PeriodValueUnitDays
2019-04-01 to 2019-06-3093,454,642USD91
2019-01-01 to 2019-06-30179,962,035USD181
2018-04-01 to 2018-06-3087,741,345USD91
2018-01-01 to 2018-06-30186,813,416USD181

Operating lease right-of-use asset

Carrying amount of the right to use leased assets under operating leases. It reflects discounted remaining payments, not the value of the underlying property.

PeriodValueUnitDays
At 2019-06-307,443,202USD
At 2018-12-317,918,283USD

Operating lease liability

Present value of remaining operating lease payments. Discount-rate choices and lease terms affect the amount; it is not the sum of undiscounted future rent.

PeriodValueUnitDays
At 2019-06-307,443,202USD

Long-term debt

Long-term borrowings under this concept, which can include the current portion depending on presentation. It is not total liabilities and may exclude leases and other obligations.

PeriodValueUnitDays
At 2019-06-3011,489,106USD

Gross property, plant and equipment

Cost of property, plant and equipment before accumulated depreciation. Historical cost does not indicate current value or replacement cost.

PeriodValueUnitDays
At 2019-06-30113,345,720USD
At 2018-12-31110,314,779USD

Accumulated depreciation on property, plant and equipment

Cumulative depreciation, depletion and amortization recorded against property, plant and equipment. It measures cost allocation to date, not physical wear or market value.

PeriodValueUnitDays
At 2019-06-3053,258,904USD
At 2018-12-3151,246,765USD

General and administrative expense

General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.

PeriodValueUnitDays
2019-04-01 to 2019-06-30927,314USD91
2019-01-01 to 2019-06-301,932,515USD181
2018-04-01 to 2018-06-30813,311USD91
2018-01-01 to 2018-06-301,781,656USD181

Depreciation expense

Depreciation recognized for the period under this concept. It is a noncash allocation of asset cost and may exclude amortization and depletion reported elsewhere.

PeriodValueUnitDays
2019-04-01 to 2019-06-301,063,365USD91
2019-01-01 to 2019-06-302,130,417USD181
2018-04-01 to 2018-06-301,013,407USD91
2018-01-01 to 2018-06-301,997,537USD181

Depreciation, depletion and amortization

Combined depreciation, depletion and amortization for the period. A noncash allocation of asset cost, not a measure of maintenance spending.

PeriodValueUnitDays
2019-01-01 to 2019-06-302,131,494USD181
2018-01-01 to 2018-06-302,004,614USD181

Nonoperating income or expense

Total nonoperating income or expense, which can include interest, investment results and other items. A positive value is not operating profit.

PeriodValueUnitDays
2019-04-01 to 2019-06-30-167,631USD91
2019-01-01 to 2019-06-30128,633USD181
2018-04-01 to 2018-06-3048,458USD91
2018-01-01 to 2018-06-30-92,332USD181

Inspect the source

Entity
SOUTH DAKOTA SOYBEAN PROCESSORS LLC / CIK 0001163609
Captured
2026-09-20T07:43:27.941Z
SEC response SHA-256
d9218bf4ec27955c4ad39b6bf08f993680612291077680c22092b5b68404ac3e

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

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.

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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/0001163609.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"])))