Tomato Soup

Name: Tomato Soup
Brand: Suma

Suma

5017601044697

Processing

Processed foods

Group 3 of 4 on the NOVA scale

Additives listed

None we have assessed

Counted from the label, not by quantity

Nutrients

–

Nothing above the low band

Or no figures recorded at all

Three separate readings, kept apart on purpose. This is not a score, and none of it says this product is harmful.

Additives

No additives listed in the source data for this product. That can mean it genuinely has none, or that the entry is incomplete. The pack itself is the authority.

Ingredients

Water, Tomato Paste (14%), Chopped Tomato* (5%), Rice Flour*, Sugar Vegetable Bouillon* (Rice Flour Sea Salt, Yeast Extract, Dried Vegetables & Concentrated Vegetable Juices* (Onion Carrot*, Parsnip*, Mushroom*, Pumpkin"), Sunflower Oil*, Turmeric*, Parsley, Lovage Garlic, Fennel Seeds").

As printed on the pack, in the producer's own order: ingredients are listed by weight, so what comes first is most of what is in it. E numbers link to their assessment where we have one.

Processing level

NOVA group 3: Processed foods

Foods made by adding salt, sugar or oil to group 1 or 2, such as tinned fish, cheese or fresh bread. Fine in normal amounts.

Nutrients per 100g

Fat

0.15g

Low

Saturates

0.03g

Low

Sugars

2.01g

Low

Salt

0.05g

Low

These figures are estimated from the ingredients rather than read off the packaging, so treat the bands as approximate. The pack is the authority.

Judged on the UK FSA front of pack thresholds for solid foods. A dash means the source has no figure, which is not the same as a low one.

Where this came from

Product data from Open Food Facts, which is crowd sourced and can be incomplete or out of date. Photograph from the same source, under the Creative Commons Attribution ShareAlike licence. Open Food Facts last changed this record on 27 March 2026, and our copy is from 20 August 2026. The source is checked every night, and a product is rewritten here only when its record there changes. Something wrong? Correcting it at the source fixes it here and everywhere else that uses the same data. If the problem is one of our additive assessments, tell us.

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