cdfi-val 🏦

Institutional-grade valuation toolkit for CDFIs and Minority Depository Institutions.

Built for investment analysts, IC teams, and impact finance practitioners who need reproducible, auditable valuation outputs — without starting from scratch in Excel.

Why cdfi-val?

Community banks, CDFIs, and MDIs are consistently underserved by open-source finance tooling. Existing Python libraries target derivatives, public equities, and trading — not mission-driven depositories where valuation requires:

• Tangible Book Value multiples calibrated to peer community banks
• P/E analysis on thin or volatile earnings bases
• DCF models with WACC and terminal growth inputs
• Comparable transaction analysis across precedent MDI/CDFI deals
• Portfolio-level aggregation across 10–12 institutions

cdfi-val fills that gap.

Installation

cat > README.md << 'EOF'
# cdfi-val 🏦

**Institutional-grade valuation toolkit for CDFIs and Minority Depository Institutions.**

Built for investment analysts, IC teams, and impact finance practitioners who need
reproducible, auditable valuation outputs — without starting from scratch in Excel.

---

## Why cdfi-val?

Community banks, CDFIs, and MDIs are consistently underserved by open-source finance
tooling. Existing Python libraries target derivatives, public equities, and trading —
not mission-driven depositories where valuation requires:

- Tangible Book Value multiples calibrated to peer community banks
- P/E analysis on thin or volatile earnings bases
- DCF models with WACC and terminal growth inputs
- Comparable transaction analysis across precedent MDI/CDFI deals
- Portfolio-level aggregation across 10–12 institutions

`cdfi-val` fills that gap.

---

## Installation

```bash
pip install cdfi-val

Or clone and install locally:

git clone https://github.com/Jaypatel1511/cdfi-val.git
cd cdfi-val
pip install -e .

Quickstart

from cdfival import BankProfile, tbv, pe, dcf

# Define your institution
bank = BankProfile(
    name="Carver Federal Savings Bank",
    ticker="CARV",
    total_assets=700_000_000,
    tangible_common_equity=45_000_000,
    shares_outstanding=179_600_000,
    net_income_ltm=2_100_000,
    eps_ltm=0.012,
    cet1_ratio=0.118,
    institution_type="MDI",
)

# TBV valuation
result = tbv.value(bank, multiple_range=(0.5, 0.9))
result.summary()

# P/E valuation
result = pe.value(bank, multiple_range=(8.0, 15.0))
result.summary()

# DCF valuation
result = dcf.value(bank, wacc=0.10, terminal_growth=0.025, projection_years=5)
result.summary()

Portfolio Mode

Aggregate valuations across a portfolio of institutions:

from cdfival import BankProfile, ValuationTracker

tracker = ValuationTracker()
tracker.add(bank1)
tracker.add(bank2)
tracker.add(bank3)

# Single method summary table
df = tracker.summary_table(method="tbv", multiple_range=(0.5, 1.0))
print(df)

# All three methods at once
results = tracker.all_methods(
    tbv_range=(0.5, 1.0),
    pe_range=(8.0, 15.0),
    wacc=0.10,
    terminal_growth=0.025,
)
print(results["tbv"])
print(results["dcf"])

Comparable Transactions

from cdfival.models.comps import ComparableTransaction, value

transactions = [
    ComparableTransaction(
        acquiree_name="Unity Bank",
        deal_date="2021-04-01",
        deal_value=36_000_000,
        acquiree_tce=45_000_000,
        acquiree_net_income=2_000_000,
        acquiree_total_assets=500_000_000,
        institution_type="MDI",
    ),
    ComparableTransaction(
        acquiree_name="Harbor Community Bank",
        deal_date="2022-08-15",
        deal_value=56_000_000,
        acquiree_tce=70_000_000,
        acquiree_net_income=3_500_000,
        acquiree_total_assets=650_000_000,
        institution_type="CDFI",
    ),
]

result = value(bank, transactions, metric="tbv")
result.summary()

Valuation Methodologies

Who This Is For

• CDFI Fund staff reviewing investment proposals
• Impact investors conducting IC-level diligence on MDIs
• Analysts at CDFIs building valuation models for equity transactions
• Researchers studying community bank valuations at scale

Running Tests

PYTHONPATH=. pytest tests/ -v

46 tests across all modules.

Contributing

Pull requests are welcome. Please open an issue first to discuss what you'd like to change. Issues tagged good first issue are a great starting point.

License

MIT © 2025 cdfi-val contributors