Top 10 · Updated October 2026

Best Low-Sugar Fish (Shelf Stable)

The 10 lowest-sugar fish (shelf stable) products on this list range from 0 g to 0 g of sugar per 100 g. The fish (shelf stable) with the least sugar per 100 g, ranked using label data. Ties are broken by Nutri-Score. We checked 57 fish (shelf stable) with complete data.

  1. 1 Thon listao

    Thon listao

    AUCHAN · 0.224 kg
    a NOVA 3 113 kcal 0 g sugar 26 g protein 1 g fat

    Also: Palm oil free · No additives

  2. 2 John West Fridge Pot Tuna

    John West Fridge Pot Tuna

    John West · 3 x 110 g
    a 126 kcal 0 g sugar 29 g protein 1 g fat
  3. 3 Lachsfilet

    Lachsfilet

    Blue Bay · 500g
    a 175 kcal 0 g sugar 19 g protein 13 g fat
  4. 4 Albacore Solid White Tuna

    Albacore Solid White Tuna

    Kirkland Signature
    a NOVA 4 137 kcal 0 g sugar 28.1 g protein 2.6 g fat

    Also: Palm oil free

  5. 5 Dried Bonito Flakes Soft Katsuobushi

    Dried Bonito Flakes Soft Katsuobushi

    J-Basket · 20g
    a 400 kcal 0 g sugar 100 g protein 0 g fat

    Also: No additives

  6. 6 Thon listao. AUCHAN

    Thon listao. AUCHAN

    AUCHAN · 0.336 kg
    a NOVA 3 113 kcal 0 g sugar 26 g protein 1 g fat

    Also: Palm oil free · No additives

  7. 7 Zalmfilet Met Huid

    Zalmfilet Met Huid

    Picnic
    a 178 kcal 0 g sugar 20 g protein 11 g fat

    Also: No additives

  8. 8 Skinless & boneless wild Pacific pink salmon

    Skinless & boneless wild Pacific pink salmon

    John West · 170g
    a 100 kcal 0 g sugar 20.4 g protein 2 g fat

    Also: No additives

  9. 9 Sardines in brine

    Sardines in brine

    John West · 90g and 120g
    a NOVA 3 174 kcal 0 g sugar 23.3 g protein 9 g fat

    Also: Palm oil free · No additives

  10. 10 Wild Caught Sardines

    Wild Caught Sardines

    Wegmans
    b NOVA 3 195 kcal 0 g sugar 25.3 g protein 10.3 g fat

    Also: Palm oil free · No additives

How we built this list

We ranked all published fish (shelf stable) on Foodmetria that have a photo and the required nutrition data, using values per 100 g from the product label. Ties are broken by Nutri-Score and by how often shoppers scan the product. Rankings update automatically as label data changes. Read our methodology.

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