SCF Quick Compare

Period-over-period variance analysis on the Statement of Cash Flows pulled from QuickBooks Online. Outputs a 4-tab Excel workbook: Summary, Detail, Flags, CDC Log. Covers Operating, Investing, and Financing sections with balance validation and SCF-specific analysis notes on flagged items.

SCF Quick Compare — Skill

What This Skill Does

Runs a period-over-period variance analysis on the Statement of Cash Flows (SCF) pulled directly from QuickBooks Online. Outputs a 4-tab Excel workbook: Summary | Detail | Flags | CDC Log.

Mirrors the pl-quick-compare pattern exactly but for the Cash Flow Statement — Operating / Investing / Financing sections, balance validation, and SCF-specific analysis notes on flagged items.

When to Use

Use when:

• A client needs month-over-month or YTD cash flow variance analysis
• Reviewing SCF as part of monthly close deliverables
• Investigating a material shift in operating, investing, or financing cash flows
• Client asks: "why did our cash position change?" or "what drove the cash swing?"

NOT for:

• 13-week rolling cash flow forecasting → use cash-flow-forecast.py
• P&L variance analysis → use pl-quick-compare.py
• AR aging / collections tracking → use ar-collections
• Balance sheet analysis (not cash flows)

Script Location

scripts/pipelines/scf-quick-compare.py

Requirements

• pip install openpyxl (already installed in workspace)
• Node.js QBO client with valid auth token
• QBO credentials configured

Usage

# Current month vs. prior month (auto-detects prior)
python3 scripts/pipelines/scf-quick-compare.py \
    --slug my-client \
    --current-start 2026-03-01 --current-end 2026-03-31

# Explicit prior period
python3 scripts/pipelines/scf-quick-compare.py \
    --slug my-client \
    --current-start 2026-02-01 --current-end 2026-02-28 \
    --prior-start 2026-01-01 --prior-end 2026-01-31

# YTD vs prior YTD (Jan 1 → end of last completed month)
python3 scripts/pipelines/scf-quick-compare.py \
    --slug my-client --ytd --year 2026

# Custom output directory
python3 scripts/pipelines/scf-quick-compare.py \
    --slug my-client \
    --current-start 2026-03-01 --current-end 2026-03-31 \
    --out ~/Desktop/reports

# Sandbox mode (QBO sandbox environment)
python3 scripts/pipelines/scf-quick-compare.py \
    --slug my-client \
    --current-start 2026-03-01 --current-end 2026-03-31 \
    --sandbox

Arguments

Flag	Required	Description
--slug	✅	Company slug (must be connected in qbo-client)
--current-start	✅*	Current period start date (YYYY-MM-DD)
--current-end	✅*	Current period end date (YYYY-MM-DD)
--prior-start	❌	Prior period start (auto-shifts 1 month if omitted)
--prior-end	❌	Prior period end (auto-shifts 1 month if omitted)
--ytd	✅*	YTD mode (alternative to explicit dates)
--year	❌	Year for --ytd (default: current year)
--out	❌	Output directory (default: ~/Desktop)
--sandbox	❌	Use QBO sandbox environment

*Either --current-start/--current-end OR --ytd is required.

Output

Excel file: SCF_QuickCompare_{slug}_{period}.xlsx saved to Desktop (or --out directory).

Tab 1: Summary

• Operating / Investing / Financing section totals (current vs prior, $ variance, % variance, F/U)
• Net Change in Cash
• Beginning and Ending Cash Balance
• SCF validation: Operating + Investing + Financing = Net Change and Beginning + Net Change = Ending Cash

Tab 2: Detail

• Every SCF line item with hierarchy preserved
• Prior period | Current period | $ Variance | % Variance | F/U label
• Color-coded by section (Operating = blue, Investing = gold, Financing = purple)

Tab 3: ⚠ Flags

• Material variances: ≥10% change OR ≥$2,500 absolute
• Analysis note for each flagged item — plain-English explanation of what the variance likely means
• SCF-specific interpretation (AR buildup, D&A add-back, capex, debt repayment, distributions)

Tab 4: CDC Log

• Change Data Capture: compares current SCF flat map against last cached run
• First run: full snapshot saved (no deltas)
• Subsequent runs: shows exactly what line items changed since last run
• Cache location: .cache/scf-quick-compare/{slug}.json

SCF Logic

Section Classification

The parser classifies each QBO CF row into sections by keyword matching on row names:

• Operating: net income, depreciation, amortization, AR, AP, inventory, prepaid, accrued, working capital
• Investing: equipment, property, asset, purchase, capex, investing
• Financing: loan, line of credit, note payable, distribution, equity, contribution, SAFE, financing
• Net Change: net change, net increase/decrease in cash
• Beginning/Ending Cash: beginning, ending (balance check rows)

Variance F/U Logic

For SCF: positive delta = Favorable (more cash generated/retained vs prior). This is directionally correct for all sections — the goal is always more net cash.

Balance Validation

Net Change = Operating + Investing + Financing      (≤$1 tolerance)
Ending Cash = Beginning Cash + Net Change           (≤$1 tolerance)

Both checks run on both periods and displayed in the Summary tab.

YTD Mode

--ytd: Current = Jan 1 → end of last completed month. Prior = same date range in prior year. Example: run on March 17, 2026 → Current = Jan 1 – Feb 28, 2026 | Prior = Jan 1 – Feb 28, 2025.

Analysis Notes (Flags Tab)

The Flags tab includes an Analysis Note column with SCF-specific interpretation for each material variance:

Item	Note logic
Net Income	Profitability driver — directs to P&L for root cause
Depreciation / Amortization	Non-cash add-back explanation
Accounts Receivable	AR buildup (cash tied up) vs. collection acceleration
Accounts Payable	AP extension (cash benefit) vs. paydown (cash use)
Inventory	Buildup (cash use) vs. drawdown (cash release)
Equipment / CapEx	Strategic capex alert — verify against growth plan
Loan proceeds / repayments	Debt structure activity — review debt schedule
Distributions	Owner draw alert — verify cash availability
SAFE / Equity	Cap table activity — verify with investor records
Net Change	Overall cash generation summary

CDC Cache

.cache/scf-quick-compare/{slug}.json

Stores the flat map of all SCF line names → amounts for the most recent run. On re-run, diffs against the prior cache and shows exactly what changed. Useful for catching mid-month QBO adjustments or reconciliation entries.

Decimal Math

All calculations use Python Decimal with ROUND_HALF_UP — no floating-point rounding errors in financial outputs.