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FundersNH

Grants paid by John Elwyn Stone Trust UW Xxx-Xx-Xxxx

EIN 51-0175745 · Manchester, NH · Form 990-PF, Part XV · NTEE C110

John Elwyn Stone Trust UW Xxx-Xx-Xxxx of Manchester, NH (EIN 51-0175745) reported 8 grants paid totaling $3,018,953 to 3 recipients in tax years 2018–2025, on Form 990-PF, Part XV. Derived from IRS e-file data, dataset version 2026.09.0, built 2026-09-03.

Grants paid

$3,018,953

8 grants

Recipients

3

distinct organizations

Tax years

2018–2025

8 filings in the corpus

By tax year

Grants by tax year, as the same figures
Tax yearGrants paidAmount paidApproved for future
20181$371,399
20191$364,377
20201$363,481
20211$433,794
20221$359,773
20231$364,798
20241$365,756
20251$395,575

Top recipients

The 3 recipients receiving the most from John Elwyn Stone Trust UW Xxx-Xx-Xxxx, by grants paid, out of 3 distinct recipients.

Recipients ranked by total grants paid
RecipientMatchLocationGrantsTotal paidLatest year
Division of Forest & Lands Attn Susan FrancherUConcord, NH4$1,533,0512021
Division of Forest and Lands Attn Mark Faulkenberry PhdUConcord, NH3$1,090,3272024
Division of Forest and Lands Attn Patrick HackleyUConcord, NH1$395,5752025

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.

Every grant

All 8 grant rows this organization reported, most recent first.

Grants reported by John Elwyn Stone Trust UW Xxx-Xx-Xxxx
Tax yearRecipientMatchAmountTypePurposeSource filing
2025Division of Forest and Lands Attn Patrick Hackley Concord, NHU$395,575paidDAILY OPERATIONS202601209349101700
2024Division of Forest and Lands Attn Mark Faulkenberry Phd Concord, NHU$365,756paidDAILY OPERATIONS202531259349102108
2023Division of Forest & Lands Attn Mark Faulkenberry Phd Concord, NHU$364,798paidDAILY OPERATIONS202411219349101206
2022Division of Forest & Lands Attn Mark Faulkenberry Phd Concord, NHU$359,773paidDAILY OPERATIONS202301119349100900
2021Division of Forest & Lands Attn Susan Francher Concord, NHU$433,794paidDAILY OPERATIONS202231199349100013
2020Division of Forest & Lands Attn Susan Francher Concord, NHU$363,481paidDAILY OPERATIONS202131239349102153
2019Division of Forest & Lands Attn Susan Francher Concord, NHU$364,377paidDAILY OPERATIONS202031219349101103
2018Division of Forest & Lands Attn Susan Francher Concord, NHU$371,399paidDAILY OPERATIONS201941129349101004

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.

Source filings

Every figure above is traceable to one of these IRS e-file returns by its OBJECT_ID.

Returns this page is derived from
FormTax yearPeriod endFiledSchemaIRS OBJECT_ID
990PF20252025-12-31not stated2025v4.0202601209349101700
990PF20242024-12-31not stated2024v5.1202531259349102108
990PF20232023-12-31not stated2023v5.0202411219349101206
990PF20222022-12-31not stated2022v5.0202301119349100900
990PF20212021-12-31not stated2021v4.1202231199349100013
990PF20202020-12-31not stated2020v4.0202131239349102153
990PF20192019-12-31not stated2019v5.0202031219349101103
990PF20182018-12-31not stated2018v3.0201941129349101004

Derived from IRS Form 990-PF e-file XML; recipient identities from the IRS Exempt Organizations Business Master File. Dataset version 2026.09.0, built 2026-09-03. The same rows as Parquet: manifest; as JSON: /api/funders/510175745.json.

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.