Product · Instant Comps

A defensible comparable set, in five minutes.

Drop in a target name. Dealert resolves the entity, classifies it against the TRBC sector tree, identifies its geography and size band, and returns a ranked precedent table. Every match score is decomposed into four visible, editable axes — industry, geography, size and recency — so you can defend the list line by line.

Get started See how it works

Available on the Pro plan · up to 100 precedents per comp.

Live example

Target → ranked precedent set

One target (DACH facility services), six precedents shown. Every match score is broken into the four ranking axes so you can see exactly why a deal scored where it did.

Ranked precedents — 6 of 47 shown Default weights · editable

Apleona Group · EQT · 2021

Multi-Technical FM · EV €1.6B · EV/Rev 1.1× · EV/EBITDA 10.4×

Ind 100 Geo 100 Size 100 Rec 80

Same target, same sector, same country — anchor precedent.

Match

Bilfinger Facility Services · EQT (carve-out) · 2016

Multi-Technical FM · EV €1.4B · EV/Rev 0.9× · EV/EBITDA 8.7×

Ind 100 Geo 100 Size 90 Rec 35

Match

Equans (Engie Solutions) · Bouygues · 2022

Multi-Technical Services · EV €7.1B · EV/Rev 0.6× · EV/EBITDA 9.1×

Ind 95 Geo 70 Size 45 Rec 90

Match

Spie Multitechnik (DE) · Spie SA (bolt-on) · 2023

Technical Building Services · EV €480M · EV/Rev 0.8× · EV/EBITDA 8.2×

Ind 90 Geo 100 Size 55 Rec 95

Match

Atalian Global Services · CD&R-backed combination · 2023

Soft Services FM · EV €1.1B · EV/Rev 0.4× · EV/EBITDA 7.1×

Ind 75 Geo 70 Size 95 Rec 95

Match

Mitie / Interserve FM · Mitie Group plc · 2020

Integrated FM · EV £271M · EV/Rev 0.3× · EV/EBITDA 6.8×

Ind 90 Geo 60 Size 30 Rec 50

Match

Sample Illustrative output — exact comps depend on your target profile and weights.

Target profile · pre-filled

Apleona Group

Industry L5: Multi-Technical Facility Services · auto
Industry L3: Facility Services
Country: Germany · auto
Region: DACH
Size band: Large (€1–5B EV) · auto
Revenue: €3.1B revenue (est.)

Reading a row

Match · weighted sum of the four axes (0–100)
Ind / Geo / Size / Rec · per-axis sub-score (0–100)
Colour cue · green ≥ 90, blue 70–89, amber 45–69, red < 45
Hover any precedent to drill into the source deal record

Ranking method

Four axes. No black box.

Every match score is a weighted sum of four sub-scores. Each sub-score is a discrete function of distance on a tree (industry, geography) or a band scale (size, recency). The weights are visible. You can change them. The same target with the same weights returns the same ranked set, every time.

Industry overlap 45%

How close the precedent's sector is to the target's, on the TRBC L5→L1 tree.

Same L5 sector 100
Same L4 sub-sector 80
Same L3 industry 60
Same L2 group 30
Same L1 economic 0

Geography overlap 20%

Same country, same region, or cross-border. Region tiers follow Dealert's geography tree.

Same country 100
Same sub-region 70
Same region 40
Cross-region 0

Size band proximity 25%

How close the precedent's EV band is to the target's, on a five-band scale (Micro / Small / Mid / Large / Mega).

Same band 100
±1 band 65
±2 bands 25
±3 bands or more 0

Recency 10%

How fresh the precedent is — multiples drift, so more recent prints carry more weight.

Closed in last 12 mo 100
1–3 years 85
3–5 years 60
5–10 years 35
10+ years 10

Defaults sum to 100%. Industry is weighted highest because sector match dominates multiple comparability. Re-weight in the UI; the table re-ranks instantly. Saved as a preset on Pro.

How it works

Four steps, no guessing.

Entity resolution

Type a company name or paste a URL. Dealert finds the canonical entity, confirms the website and looks up the official LinkedIn page. If multiple matches exist, you pick.

Classification

An LLM classifies the target against the TRBC L1 → L5 hierarchy and chooses its headquarters country. The classification is shown and editable before you generate comps — you stay in control.

Size & stage

Revenue is estimated from public signals. You can override it. The system maps revenue to a five-band size scale (Micro / Small / Mid / Large / Mega) used by the ranking engine.

Ranked precedent set

Up to 100 precedents are returned, each with a match score and the per-axis breakdown that produced it: industry distance, geography overlap, size proximity, recency.

Per-row output

What's in every precedent.

Match score: 0–100 weighted sum of the four axes. Higher = stronger overall fit. Recomputed live when you change weights.
Per-axis sub-scores: Industry, Geography, Size, Recency — each 0–100. The breakdown is what makes the score defensible: you can point at the row and explain why it ranked where it did.
Deal record: Target, buyer, year, deal type, geography, sector classification (TRBC L5 down to L1), seller type.
Transaction multiples: EV, EV/Revenue, EV/EBITDA, EV/EBIT where disclosed; estimated where signals support an estimate, marked separately from disclosed values.
Editable weights: Re-weight the four axes and the table re-ranks instantly. Defaults stay one click away. Pro users save presets per mandate.
Export: CSV of the full ranked set with axes, multiples and source IDs — drops straight into a comp page in Excel or a precedent appendix in a pitch.

Use cases

Three jobs Instant Comps does well.

Sell-side adviser

First-cut precedent table for a pitch.

Generate a ranked precedent set the night before a pitch. Defend the list with per-axis scoring rather than "we picked these because we know them." Drop into the appendix as-is or refine.

Private equity

IC memo benchmark in minutes.

Frame an entry multiple against the cleanest precedents — same sector, same region, same size band. Re-weight to test sensitivity. Every number in the memo is traceable to a deal record.

Corporate development

Defensible board-pack comparables.

Stop hand-picking comps that flatter the thesis. Show the board the ranked set the engine produced, the weights you used, and the precedents that anchored it. Audit-ready.

Open Instant Comps

Try it on a target you know.

The fastest way to judge the engine is to run it on a company whose actual comparable set you already have in your head. Drop in a name and see what comes back. Free account, no card.

Get started See pricing