VeoliaDeal Evidence / independent capstone

Did the deals change anything real?

Mostly the reported numbers, so far. The KPI cannot tell bought tonnes from real progress.

Five acquisitions, one independent read. Every underlined figure opens its source, such as .

Start with the tonnes

What Clean Earth adds depends who counts

Added to the KPI over a full year: . Real-world change: zero. The waste was already being handled.

or +Reported or like-for-like growth, 2025Like-for-like is a hypothesis Veolia can settle.
or Clean Earth NPV at 6.8% or 8.5%The answer turns on who sets the rate.
Water Technologies synergiesDelivered to September 2026, of due by 2027.

What the nine-month results changed

Still no tonnes

The 5 November release gives no hazardous tonnage, so the KPI question stays open. Hazardous Waste revenue grew at constant scope.

No Clean Earth line

Veolia says integration is on plan. We estimate to of revenue in four months, against at the seller’s pace.

Water Technologies synergies on plan

of are delivered. Revenue fell at constant scope, but rose in Q3.

Debt rose again

Net debt reached , or on our measure. of disposals are signed at .

See every latest reading

The five deals

DealPriceWhat it bringsStage
Water Technologies, last 30% from CDPQWater Technologies, last 30% from CDPQFull ownership of a business Veolia already ranClosed. Results can be read
Clean Earth, from EnviriClean Earth, from EnviriA US network that collects and processes waste, 20 sites in EPA dataClosed June 2026. Too early
New England Disposal TechnologiesNew England Disposal TechnologiesHazardous waste treatment and emergency response, MassachusettsClosed 2025
New England MedWaste, Bio-Med InnovationsNew England MedWaste, Bio-Med InnovationsMedical waste treatment and storage, MassachusettsClosed 2025
IngeniumPackaging, logistics and multi-stream hazardous treatment, CaliforniaClosed 2025

What the evidence shows

  • The target moved with the portfolio

    It was until Veolia sold RGS, then . Veolia met it before Clean Earth arrived, at in 2025. Nothing says what happens now that it has bought tonnes.

    Read the tonnes chapter
  • Half of its federal tonnes only pass through

    of its 2023 receipts were storage or transfer, and it incinerated none of them. It sent of its outbound shipments to Veolia sites.

    See what Clean Earth does
  • Veolia paid above three of four value ranges

    Those ranges came from the seller’s own banker. Veolia won by , and a rival cut its bid by after due diligence. At Veolia’s rate the price holds only if a EBITDA jump arrives in 2026.

    Test the price
  • The Water Technologies buyout moves no KPI

    Veolia already consolidated the business. It now pays of interest after tax to keep of minority income, so synergies are the whole case.

    Read the buyout ledger
  • The tuck-ins reached the KPI first

    They cost , but they added about of capacity to the 2025 picture. If it ran full, like-for-like growth falls from to .

    Read the tuck-ins chapter
  • Who gets the value depends on the denominator

    Staff take of revenue and of value added. Neither deal changes that split by much.

    Compare both divisions

The filings say it themselves

The 2027 target after the RGS sale. URD 2024, p.25

A year earlier the same sentence said ten million. Press any extract to open the whole page.

The same line as first filed. URD 2023, p.27
The sale behind the change. URD 2024, p.327
The outcome metric, last published here. URD 2023, p.214

What Veolia should do

Report tonnes at constant perimeter next to the total, from FY2026.

Cost
Low, the data exists.
Borne by
Reporting teams, and a weaker headline.
Would change our mind
If the audited perimeter already does this.

Why we did this

We are six EDHEC students, and this is our Innovations in Finance capstone. Companies now report on more than profit, so a deal can look like progress on a scorecard without changing anything in the real world.

We wanted to know how to tell the two apart, using five recent Veolia deals as the test. We built this so that partners and professors do not have to take our word for it: every number leads back to its source.

  • Portrait of Alexis Lascou–Prokop
    Alexis Lascou–Prokop
  • Portrait of Thibault Cartron
    Thibault Cartron
  • Portrait of Loïc Descharrières
    Loïc Descharrières
  • Portrait of Éthan Berger
    Éthan Berger
  • Portrait of Léon Faguet
    Léon Faguet
  • Portrait of Solène Gin
    Solène Gin

Every source document, every input and all model checks.

Evidence