FederalPay.org
PPP Loan Data — Signal Peak Silica LLC,
Houston, TX
Signal Peak Silica LLC
Entity: Limited Liability Company (LLC)
Industry: Industrial Sand Mining
Location: Houston, TX
Tweet This
•
Search All PPP Data
Signal Peak Silica LLC is a limited liability company (LLC) located at 4605 Post Oak Place Dr Ste 100 in Houston, Texas that received a Coronavirus-related PPP loan from the SBA of $5,901,397.00 in April, 2020.
$
PPP Loan Information
Loan #2202757309
Loan Size:
Jobs Retained:
272Loan Approved:
2020-04-29Loan Status:
Ongoing LoanLender:
First Horizon BankSignal Peak Silica LLC in Houston, TX received a Paycheck Protection Loan of $5.9M through First Horizon Bank, which was approved in April, 2020.
This loan has been disbursed by the lender and has not yet been fully repaid or forgiven. The exact status of ongoing loans is not released by the SBA.
The size of company's PPP loan indicates that the number of employees on payroll during the eligibility calculation period (typically 2019) was higher than the 272 jobs reported as retained on the PPP application3. This could be caused by a reduction in employment since 2019, due to Coronavirus or other factors.The minimum number of employees this company must have had in 2019 to qualify for the loan range received is 283. This estimation is accurate if all employees were paid at or over the $100k PPP salary eligibility cap.
Payroll Estimates Based On SBA PPP Loan Eligibility Formula
Understanding The SBA Formula For Determining PPP Loan Eligibility
The simplest way to describe the standard PPP calculation is that businesses are eligible to receive a maximum PPP loan of up to 2.5 x average 2019 monthly payroll costs. However, specific calculation methods vary based on entity type and have numerous qualifications.
Read MoreUnderstanding Payroll Estimates Based On PPP Amount
Please note that payroll estimations are based on a simplified PPP eligibility formula and do not account for factors such as salaries over $100k and other PPP eligibility components.
Read MoreBased on the standard PPP eligibility formula, it may be possible to estimate the payroll expenses represented by a company on their PPP application (see details above). In order to qualify for the PPP loan amount received, Signal Peak Silica LLC's 2019 payroll expenses are estimated to be at least $28.33M (not accounting for salary amounts > $100k).
Because the 272 jobs reported are not enough to account for the loan range received, per-employee payrolls cannot be estimated.
Reported PPP Proceed Usage:
On the PPP application, Signal Peak Silica LLC reported intending to use the proceeds of their PPP loan for the following expenses:
- Payroll: $5,901,397
Business Information - Signal Peak Silica LLC in Houston, TX
4605 Post Oak Place Dr Ste 100
Houston, TX 77027
Business Industry:
Industrial Sand Mining
NAICS code 212322
Business Owner Demographics
Race: Unreported
Ethnicity: Unreported
Gender: Unreported
Veteran Status: Unreported
Business Demographics
Business Age: New Business or 2 years or less
LMI Zone: N
HUBZone: N
Rural / Urban: Urban
Businesses Using Same Address:
There is one other business that received a PPP loan registered to the same address as Signal Peak Silica LLC.
PS Investor Newco Delaware LLC
Industrial Sand Mining
Similar Companies near Houston
In the Houston area, 2 businesses in the "Industrial Sand Mining" industry received a PPP loan. These local businesses reported an average of 194 employees (compared to this company's 272) and received an average PPP loan of $3,950,699 (compared to this company's $5.9M).
Similar Nearby Businesses Who Received PPP Funding:
PS Investor Newco Delaware LLC
Houston, TX
Industry PPP Comparison Statistics
Nationwide, 155 businesses in the "Industrial Sand Mining" industry received a total of $45.74M in PPP loans. This industry in total received less than 1% of the total PPP funding distributed.
PPP recipients in this industry report an average of 21 employees, 92% lower than Signal Peak Silica LLC's reported 272 employees, and received an average PPP loan of $295,121, 95% lower than this company's loan of $5.9M.
FederalPay's PPP Information Policy
Paycheck Protection Loan data has been made public by the Small Business Administration (SBA) for all private companies that received a PPP loan.
All information displayed on this page is publicly available information under PPP loan guidelines, in compliance with 5 U.S.C. § 552 (Freedom of Information Act) and 5 U.S.C. § 552a (the Privacy Act) and is published unmodified, as provided by the SBA. FederalPay does not modify the data and makes no claims regarding its accuracy.
Any corrections or modifications to this data can only be made via the SBA. For more information, please see the FederalPay PPP Data Policy.
Footnotes & Information
1. Estimations for informational purposes only. Payroll and salary estimates assume the borrower used the standard PPP calculation of 2.5 x average 2019 monthly payroll costs to determine PPP loan eligibility. Calculation methods vary based on entity type. Please read the latest official SBA PPP calculation rules for a full explanation of PPP loan amount calculation methods.
2. If a company's reported number of employees divided by the maximum PPP range amount per the SBA is greater than $100,000, the estimated maximum PPP loan received by the company can be adjusted down to assume no more than $100,000 yearly salary per employee was used in the PPP application. While employees at the company may earn more, $100k / employee is the maximum amount that can be used in PPP eligibility calculations.
3. Since the PPP eligibility will include a maximum of $100k in salary expenses for each employee in the qualifying period, the minimum number of employees required to be eligible for a given PPP loan amount can be calculated by the following equation: ((LOAN AMOUNT/2.5 months) * 12 months) / 100k max salary. If a company reports fewer employees than this amount on their PPP application, it is likely because they had more employees on payroll during the qualifying period.
Have FederalPay.org's open data tools been valuable? Consider donating!