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calculation-standards.md

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1# Calculation Verification Reference
2
3This file provides formulas and guidelines for verifying pre-calculated values in source data before populating templates. Source data should already contain calculated figures—use these formulas to verify accuracy.
4

Calculation Verification Reference

This file provides formulas and guidelines for verifying pre-calculated values in source data before populating templates. Source data should already contain calculated figures—use these formulas to verify accuracy.

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5## Contents
6
7- [Key Verification Formulas](#key-verification-formulas)
8- [Consensus Methodology](#consensus-methodology)
9- [Rounding Guidelines](#rounding-guidelines)
10- [Verification Checklist](#verification-checklist)
11- [Red Flags to Investigate](#red-flags-to-investigate)
13---

Contents

  • Key Verification Formulas
  • Consensus Methodology
  • Rounding Guidelines
  • Verification Checklist
  • Red Flags to Investigate

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15## Key Verification Formulas

Key Verification Formulas

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17### CAGR Projection
19**Formula:**
20```
21Future Value = Present Value × (1 + CAGR)^n
22```
24**Variables:**
25- Present Value: Current/base year market size
26- CAGR: Compound Annual Growth Rate (as decimal, e.g., 16.4% = 0.164)
27- n: Number of years between base and target year
29**Verification example:**
30```
31Source claims: $22.1bn (2024) at 16.4% CAGR = $55.0bn (2030)
33Verify: 22.1 × (1.164)^6 = 22.1 × 2.488 = 55.0 ✓
34```
36**Calculating n (years):** Count years between base and target year. Examples: 2024→2030 = 6 years, 2025→2030 = 5 years.

CAGR Projection

Formula:

Future Value = Present Value × (1 + CAGR)^n

Variables:

  • Present Value: Current/base year market size
  • CAGR: Compound Annual Growth Rate (as decimal, e.g., 16.4% = 0.164)
  • n: Number of years between base and target year

Verification example:

Source claims: $22.1bn (2024) at 16.4% CAGR = $55.0bn (2030)

Verify: 22.1 × (1.164)^6 = 22.1 × 2.488 = 55.0 ✓

Calculating n (years): Count years between base and target year. Examples: 2024→2030 = 6 years, 2025→2030 = 5 years.

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38### Valuation Multiples
40**EV/Revenue:**
41```
42EV/Revenue Multiple = Enterprise Value ÷ Revenue
43Implied EV = Revenue × Multiple
44```
46**EV/EBITDA:**
47```
48EV/EBITDA Multiple = Enterprise Value ÷ EBITDA
49Implied EV = EBITDA × Multiple
50```
52**Verification example:**
53```
54Source claims: $436m deal at 9.7x revenue multiple on $45m revenue
56Verify: 436 ÷ 45 = 9.69 ≈ 9.7x ✓
57```

Valuation Multiples

EV/Revenue:

EV/Revenue Multiple = Enterprise Value ÷ Revenue
Implied EV = Revenue × Multiple

EV/EBITDA:

EV/EBITDA Multiple = Enterprise Value ÷ EBITDA
Implied EV = EBITDA × Multiple

Verification example:

Source claims: $436m deal at 9.7x revenue multiple on $45m revenue

Verify: 436 ÷ 45 = 9.69 ≈ 9.7x ✓
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59### Market Share
61**Formula:**
62```
63Market Share = (Segment Size ÷ Total Market Size) × 100
64```
66**Verification example:**
67```
68Source claims: Online segment ($18bn) is 28% of total market ($65bn)
70Verify: 18 ÷ 65 = 0.277 = 27.7% ≈ 28% ✓
71```

Market Share

Formula:

Market Share = (Segment Size ÷ Total Market Size) × 100

Verification example:

Source claims: Online segment ($18bn) is 28% of total market ($65bn)

Verify: 18 ÷ 65 = 0.277 = 27.7% ≈ 28% ✓
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73### Growth Rate
75**Year-over-Year:**
76```
77YoY Growth = (Current Year - Prior Year) ÷ Prior Year × 100
78```
80**CAGR from endpoints:**
81```
82CAGR = (End Value ÷ Start Value)^(1/n) - 1
83```
85---

Growth Rate

Year-over-Year:

YoY Growth = (Current Year - Prior Year) ÷ Prior Year × 100

CAGR from endpoints:

CAGR = (End Value ÷ Start Value)^(1/n) - 1

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87## Consensus Methodology
89When source data contains multiple estimates, verify consensus calculations:

Consensus Methodology

When source data contains multiple estimates, verify consensus calculations:

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91### Size Consensus (Range)
93**Method:** Full min-max range across all sources
95**Example:**
96```
97Sources: $14.9bn, $18.3bn, $21.1bn, $21.2bn, $22.1bn
98Consensus: $15-22bn (rounded to nearest $1bn)
99```

Size Consensus (Range)

Method: Full min-max range across all sources

Example:

Sources: $14.9bn, $18.3bn, $21.1bn, $21.2bn, $22.1bn
Consensus: $15-22bn (rounded to nearest $1bn)
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101### CAGR Consensus (Central Cluster)
103**Method:** Exclude outliers (highest and lowest), use central cluster range
105**Example:**
106```
107Sources: 10.6%, 16.4%, 17.2%, 19.0%, 22.7%
108Exclude outliers: 10.6% (low), 22.7% (high)
109Central cluster: 16.4%, 17.2%, 19.0%
110Consensus: 16-19% or 16-17% (conservative)
111```

CAGR Consensus (Central Cluster)

Method: Exclude outliers (highest and lowest), use central cluster range

Example:

Sources: 10.6%, 16.4%, 17.2%, 19.0%, 22.7%
Exclude outliers: 10.6% (low), 22.7% (high)
Central cluster: 16.4%, 17.2%, 19.0%
Consensus: 16-19% or 16-17% (conservative)
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113### Projection Consensus
115**Method:** Apply consensus CAGR to midpoint of size range
117**Example:**
118```
119Size range: $15-22bn → Midpoint: $18.5bn
120CAGR consensus: 16-17%
121At 16%: 18.5 × (1.16)^6 = $45.1bn
122At 17%: 18.5 × (1.17)^6 = $47.5bn
123Consensus projection: $45-48bn
124```
126---

Projection Consensus

Method: Apply consensus CAGR to midpoint of size range

Example:

Size range: $15-22bn → Midpoint: $18.5bn
CAGR consensus: 16-17%
At 16%: 18.5 × (1.16)^6 = $45.1bn
At 17%: 18.5 × (1.17)^6 = $47.5bn
Consensus projection: $45-48bn

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128## Rounding Guidelines
130These are **typical conventions** — adjust based on the magnitude of values and template style:
132| Value Type | Typical Rounding | Example |
133|------------|------------------|---------|
134| Large market sizes ($10bn+) | Nearest $1bn | 18.47 → $18bn |
135| Smaller market sizes (<$10bn) | Nearest $0.5bn or $0.1bn | 2.3 → $2.5bn |
136| Size ranges | Match precision of sources | 14.9-22.1 → $15-22bn |
137| CAGR | Whole % or 0.5% | 16.4% → 16% or 16.5% |
138| Market share | Nearest 5% or match source | 27.7% → 25% or 30% |
139| Revenue ($m) | 1 decimal | 18.47 → $18.5m |
140| Multiples | 1 decimal | 9.688 → 9.7x |
142**Rounding principles:**
143- Rounding should not materially change the figure — for smaller values, use finer precision
144- Consistency matters more than precision — use same rounding across similar figures
145- When creating ranges, round down for low end, round up for high end
146- For summary statistics (mean, median), match precision of input data
148---

Rounding Guidelines

These are typical conventions — adjust based on the magnitude of values and template style:

Value TypeTypical RoundingExample
Large market sizes ($10bn+)Nearest $1bn18.47 → $18bn
Smaller market sizes (<$10bn)Nearest $0.5bn or $0.1bn2.3 → $2.5bn
Size rangesMatch precision of sources14.9-22.1 → $15-22bn
CAGRWhole % or 0.5%16.4% → 16% or 16.5%
Market shareNearest 5% or match source27.7% → 25% or 30%
Revenue ($m)1 decimal18.47 → $18.5m
Multiples1 decimal9.688 → 9.7x

Rounding principles:

  • Rounding should not materially change the figure — for smaller values, use finer precision
  • Consistency matters more than precision — use same rounding across similar figures
  • When creating ranges, round down for low end, round up for high end
  • For summary statistics (mean, median), match precision of input data

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150## Verification Checklist
152Before using any calculated value from source data:

Verification Checklist

Before using any calculated value from source data:

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154### Formula Verification
155- [ ] Projection uses correct CAGR formula: `PV × (1 + r)^n`
156- [ ] Multiples calculated as EV ÷ Metric (not reversed)
157- [ ] Growth rates use correct base year in denominator
158- [ ] Percentage shares sum to ~100% where applicable

Formula Verification

  • [ ] Projection uses correct CAGR formula: PV × (1 + r)^n
  • [ ] Multiples calculated as EV ÷ Metric (not reversed)
  • [ ] Growth rates use correct base year in denominator
  • [ ] Percentage shares sum to ~100% where applicable
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160### Input Verification
161- [ ] Base year figures match source documents
162- [ ] CAGR/growth rates match stated source methodology
163- [ ] Time periods (n) calculated correctly
164- [ ] Currency and units consistent ($bn vs $m)

Input Verification

  • [ ] Base year figures match source documents
  • [ ] CAGR/growth rates match stated source methodology
  • [ ] Time periods (n) calculated correctly
  • [ ] Currency and units consistent ($bn vs $m)
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166### Output Verification
167- [ ] Calculated result matches source's stated figure
168- [ ] If mismatch, investigate methodology difference
169- [ ] Rounding applied consistently
170- [ ] Results are plausible (no order-of-magnitude errors)

Output Verification

  • [ ] Calculated result matches source's stated figure
  • [ ] If mismatch, investigate methodology difference
  • [ ] Rounding applied consistently
  • [ ] Results are plausible (no order-of-magnitude errors)
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172### Consensus Verification
173- [ ] All sources included in range calculations
174- [ ] Outlier exclusion methodology documented
175- [ ] Midpoint calculations use correct averaging
176- [ ] Range bounds represent actual min/max or documented subset
178---

Consensus Verification

  • [ ] All sources included in range calculations
  • [ ] Outlier exclusion methodology documented
  • [ ] Midpoint calculations use correct averaging
  • [ ] Range bounds represent actual min/max or documented subset

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180## Red Flags to Investigate
182**Projection mismatches:**
183- Calculated projection differs from source by >5%
184- Likely cause: Different base year, different CAGR, or rounding
186**Multiple mismatches:**
187- Calculated multiple differs from source
188- Likely cause: Different metric definition (LTM vs. NTM, Revenue vs. Net Revenue)
190**Consensus mismatches:**
191- Your consensus differs from source's consensus
192- Likely cause: Source excluded certain data points, different outlier treatment
194**When in doubt:** Note the discrepancy in a footnote and show your calculation methodology.

Red Flags to Investigate

Projection mismatches:

  • Calculated projection differs from source by >5%
  • Likely cause: Different base year, different CAGR, or rounding

Multiple mismatches:

  • Calculated multiple differs from source
  • Likely cause: Different metric definition (LTM vs. NTM, Revenue vs. Net Revenue)

Consensus mismatches:

  • Your consensus differs from source's consensus
  • Likely cause: Source excluded certain data points, different outlier treatment

When in doubt: Note the discrepancy in a footnote and show your calculation methodology.

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