Background: In preterm infants, neonatal weight growth is associated with neurodevelopmental outcome but is a poor indicator of growth quality. Objective: The aim of this work was to measure the relationship between neonatal length growth and the 2-year neurological outcome in preterm infants. Methods: A total of 2,403 infants enrolled in the LIFT cohort with gestational age less than 34 weeks were studied. Neonatal observed length growth (OLG) was calculated as the change in length Z-score between birth and discharge. Expected length growth (ELG) was estimated based on gestational age, birth weight Z-score, birth length Z-score, gender, and observed neonatal weight growth. The difference between OLG and ELG (∆_OLG-ELG) was calculated as OLG – ELG, and infants were ranked into 3 classes depending on their ∆_OLG-ELG (≤–0.5, –0.49 to 0.49, ≥0.50 Z-score). We explored the relationship between ∆_OLG-ELG and 2-year neurodevelopmental outcome (n = 2,036), and, in a subgroup (n = 85), between ∆_OLG-ELG and body composition at discharge. Results: ELG was strongly predicted from the above-mentioned parameters (R² = 0.73, p = 0.001). OLG correlated closely with gestational age (p = 0.001) but ∆_OLG-ELG did not (p = 1.0). OLG was not associated with a 2-year nonoptimal outcome after adjustment for gestational age, but ∆_OLG-ELG ≤–0.5 was; the crude and adjusted odds ratios were 1.63 and 1.56, respectively. ∆_OLG-ELG correlated negatively with fat mass (R² = 0.29, p = 0.006) before and after adjustment for gestational age. Conclusion: ∆_OLG-ELG is a marker of neonatal growth that does not depend on gestational age, and may reflect quality of growth. A ∆_OLG-ELG ≤–0.5 Z-score is associated with a higher risk for 2-year nonoptimal neurodevelopmental outcome.