'use client' import { useEffect, useState } from 'react' import { Language } from '@/lib/types' import { t } from '@/lib/i18n' import GradientText from '../ui/GradientText' import FadeInView from '../ui/FadeInView' import GlassCard from '../ui/GlassCard' import { TrendingUp, TrendingDown, Minus } from 'lucide-react' interface AssumptionsSlideProps { lang: Language investorId?: string | null preferredScenarioId?: string | null isWandeldarlehen?: boolean } function fmtArr(v: number, de: boolean): string { if (v >= 1_000_000) { const m = (v / 1_000_000).toFixed(1) return de ? `~${m.replace('.', ',')} Mio. EUR` : `~EUR ${m}M` } return de ? `~${Math.round(v / 1000)}k EUR` : `~EUR ${Math.round(v / 1000)}k` } function fmtCash(v: number, de: boolean): string { if (Math.abs(v) >= 1_000_000) { const m = (v / 1_000_000).toFixed(1) return de ? `~${m.replace('.', ',')} Mio. EUR` : `~EUR ${m}M` } return de ? `~${Math.round(v / 1000)}k EUR` : `~EUR ${Math.round(v / 1000)}k` } interface SheetRow { row_label?: string values?: Record values_total?: Record is_sum_row?: boolean } export default function AssumptionsSlide({ lang, investorId, preferredScenarioId, isWandeldarlehen }: AssumptionsSlideProps) { const i = t(lang) const de = lang === 'de' // Load KPIs from fp_* tables (source of truth) const [baseKPIs, setBaseKPIs] = useState>({}) useEffect(() => { async function load() { try { const scenarioParam = isWandeldarlehen ? '?scenarioId=c0000000-0000-0000-0000-000000000200' : '' const [guvRes, liqRes, persRes, kundenRes] = await Promise.all([ fetch(`/api/finanzplan/guv${scenarioParam}`, { cache: 'no-store' }), fetch(`/api/finanzplan/liquiditaet${scenarioParam}`, { cache: 'no-store' }), fetch(`/api/finanzplan/personalkosten${scenarioParam}`, { cache: 'no-store' }), fetch(`/api/finanzplan/kunden${scenarioParam}`, { cache: 'no-store' }), ]) const [guv, liq, pers, kunden] = await Promise.all([guvRes.json(), liqRes.json(), persRes.json(), kundenRes.json()]) const findGuv = (label: string) => (guv.rows || []).find((r: SheetRow) => (r.row_label || '').includes(label)) const findLiq = (label: string) => (liq.rows || []).find((r: SheetRow) => (r.row_label || '').includes(label)) const kundenGesamt = (kunden.rows || []).find((r: SheetRow) => r.row_label === 'Bestandskunden gesamt') const arr = findGuv('Umsatzerlöse')?.values?.y2030 || 0 const customers = kundenGesamt?.values?.m60 || 0 const headcount = (pers.rows || []).filter((r: SheetRow) => ((r.values_total || r.values)?.m60 || 0) > 0).length const cash = findLiq('LIQUIDIT')?.values?.m60 || findLiq('LIQUIDITAET')?.values?.m60 || 0 const ebit = findGuv('EBIT')?.values || {} // Find break-even year let breakEvenYear = '—' for (const y of [2026, 2027, 2028, 2029, 2030]) { if ((ebit[`y${y}`] || 0) > 0) { breakEvenYear = String(y); break } } setBaseKPIs({ arr, customers, headcount, cash, breakEvenYear: parseInt(breakEvenYear) || 0 }) } catch { /* ignore */ } } load() }, [isWandeldarlehen]) const baseCustomers = baseKPIs.customers || 0 const baseArr = baseKPIs.arr || 0 const baseEmployees = baseKPIs.headcount || 0 const baseCash = baseKPIs.cash || 0 const baseBreakEven = baseKPIs.breakEvenYear ? String(baseKPIs.breakEvenYear) : '—' // Bear/Bull scaled from Base const bearCustomers = Math.round(baseCustomers * 0.5) const bearArr = baseArr * 0.42 const bearEmployees = Math.round(baseEmployees * 0.7) const bearCash = Math.round(baseCash * 0.3) const bearBreakEven = baseKPIs.breakEvenYear ? String(baseKPIs.breakEvenYear + 1) : '—' const bullCustomers = Math.round(baseCustomers * 1.7) const bullArr = baseArr * 1.8 const bullEmployees = Math.round(baseEmployees * 1.3) const bullCash = Math.round(baseCash * 2.0) const bullBreakEven = baseKPIs.breakEvenYear ? String(baseKPIs.breakEvenYear - 1) : '—' const baseAssumptions = isWandeldarlehen ? (de ? [ `Kundenwachstum: 8% monatlich (Slow), ab m32: 15%`, 'Mix: 60% Starter, 25% Professional, 15% Enterprise', `Personalaufbau: 3→${baseEmployees} Personen (lean)`, 'Serverkosten: 50€/Kunde + 300€ Basis', `Break-Even ${baseBreakEven}`, ] : [ `Customer growth: 8% monthly (slow), from m32: 15%`, 'Mix: 60% Starter, 25% Professional, 15% Enterprise', `Hiring: 3→${baseEmployees} people (lean)`, 'Server costs: €50/customer + €300 base', `Break-even ${baseBreakEven}`, ]) : (de ? [ 'Kundenwachstum wie geplant (5→1.200)', 'Mix: 60% Starter, 25% Professional, 15% Enterprise', 'Personalaufbau 5→10→17→25→35', 'Serverkosten 100€ pro Kunde + 2.000€ Basis', 'Break-Even Mitte 2029', ] : [ 'Customer growth as planned (5→1,200)', 'Mix: 60% Starter, 25% Professional, 15% Enterprise', 'Hiring 5→10→17→25→35', 'Server costs €100 per customer + €2,000 base', 'Break-even mid 2029', ]) const cases = [ { name: 'Bear Case', icon: TrendingDown, color: 'text-red-400', bg: 'bg-red-500/10 border-red-500/20', desc: de ? 'Langsames Wachstum, höhere Churn' : 'Slow growth, higher churn', assumptions: de ? [ 'Kundenwachstum 50% langsamer als Base', 'Churn Rate 8% pro Monat (Startups)', 'Durchschnittspreis 20% niedriger', 'Personalaufbau verzögert um 6 Monate', ] : [ 'Customer growth 50% slower than base', 'Churn rate 8% per month (startups)', 'Average price 20% lower', 'Hiring delayed by 6 months', ], kpis: { kunden2030: `~${bearCustomers.toLocaleString('de-DE')}`, arr2030: fmtArr(bearArr, de), ma2030: String(bearEmployees), breakEven: bearBreakEven, cash2030: fmtCash(bearCash, de), }, }, { name: 'Base Case', icon: Minus, color: 'text-indigo-400', bg: 'bg-indigo-500/10 border-indigo-500/20', desc: de ? 'Aktueller Finanzplan' : 'Current financial plan', assumptions: baseAssumptions, kpis: { kunden2030: `~${baseCustomers.toLocaleString('de-DE')}`, arr2030: fmtArr(baseArr, de), ma2030: String(baseEmployees), breakEven: baseBreakEven, cash2030: fmtCash(baseCash, de), }, }, { name: 'Bull Case', icon: TrendingUp, color: 'text-emerald-400', bg: 'bg-emerald-500/10 border-emerald-500/20', desc: de ? 'Beschleunigtes Wachstum' : 'Accelerated growth', assumptions: de ? [ 'Kundenwachstum 70% schneller (Regulierungsdruck)', 'Enterprise-Anteil steigt auf 20%', 'Durchschnittspreis 15% höher (Upselling)', 'Channel-Partner ab Q1/2028', ] : [ 'Customer growth 70% faster (regulation pressure)', 'Enterprise share rises to 20%', 'Average price 15% higher (upselling)', 'Channel partners from Q1/2028', ], kpis: { kunden2030: `~${bullCustomers.toLocaleString('de-DE')}`, arr2030: fmtArr(bullArr, de), ma2030: String(bullEmployees), breakEven: bullBreakEven, cash2030: fmtCash(bullCash, de), }, }, ] return (

{i.annex.assumptions.title}

{i.annex.assumptions.subtitle}

{cases.map((c, idx) => { const Icon = c.icon return (

{c.name}

{c.desc}

{c.assumptions.map((a, i) => (

{a}

))}
{[ { label: de ? 'Kunden 2030' : 'Customers 2030', value: c.kpis.kunden2030 }, { label: 'ARR 2030', value: c.kpis.arr2030 }, { label: de ? 'Mitarbeiter' : 'Employees', value: c.kpis.ma2030 }, { label: 'Break-Even', value: c.kpis.breakEven }, { label: 'Cash 2030', value: c.kpis.cash2030 }, ].map((kpi, i) => (
{kpi.label} {kpi.value}
))}
) })}
{/* Comparison Table */}

{de ? 'Szenario-Vergleich 2030' : 'Scenario Comparison 2030'}

{[ { label: de ? 'Kunden' : 'Customers', bear: cases[0].kpis.kunden2030, base: cases[1].kpis.kunden2030, bull: cases[2].kpis.kunden2030 }, { label: 'ARR', bear: cases[0].kpis.arr2030, base: cases[1].kpis.arr2030, bull: cases[2].kpis.arr2030 }, { label: de ? 'Mitarbeiter' : 'Employees', bear: cases[0].kpis.ma2030, base: cases[1].kpis.ma2030, bull: cases[2].kpis.ma2030 }, { label: 'Break-Even', bear: cases[0].kpis.breakEven, base: cases[1].kpis.breakEven, bull: cases[2].kpis.breakEven }, { label: 'Cash', bear: cases[0].kpis.cash2030, base: cases[1].kpis.cash2030, bull: cases[2].kpis.cash2030 }, ].map((row, idx) => ( ))}
Bear Base Bull
{row.label} {row.bear} {row.base} {row.bull}
) }