funder-graph

FundersCOMark and Linda Kissel Family Foundation › 2018

Grants paid by Mark and Linda Kissel Family Foundation, tax year 2018

EIN 47-2522507 · Evergreen, CO · Form 990-PF, Part XV · NTEE B12

In tax year 2018, Mark and Linda Kissel Family Foundation (EIN 47-2522507) reported 7 grants paid totaling $121,760. Dataset version 2026.09.0, built 2026-09-03.

2018202020212022202320242025

Every grant, 2018

Grants reported by Mark and Linda Kissel Family Foundation for tax year 2018
Tax yearRecipientMatchAmountTypePurposeSource filing
2018Pikes Peak Habitat for Humanity Colorado Springs, COB$41,760paidSOCIAL WELFARE201931379349100608
2018Chris Kyle Frog Foundation Midlothian, TXD$20,000paidSOCIAL WELFARE201931379349100608
2018Puppies Behind Bars New York, NYB$20,000paidSOCIAL WELFARE201931379349100608
2018Blue Spruce Habitat for Humanity Evergreen, COU$15,000paidANIMAL WELFARE201931379349100608
2018Loveland Habitat for Humanity Loveland, COU$15,000paidSOCIAL WELFARE201931379349100608
2018American Eskimo Rescue St Louis St Louis, MOC$5,000paidANIMAL WELFARE201931379349100608
2018Speak St Louis Troy, ILB$5,000paidANIMAL WELFARE201931379349100608

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Derived from IRS Form 990-PF e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.