We describe Pinch-AST, our submission to the IWSLT 2026 Simultaneous Speech-to-Text Translation shared task, covering all four official directions (En → De, En → It, En → Zh, Cs → En) under both low- and high- latency regimes. Pinch-AST is a cascaded system pairing off-the-shelf speech models with a translation backbone adapted per language pair via LoRA on ASR-noise-augmented parallel data. The streaming policy is a character-level longest-common-prefix re-translation strategy, and the full pipeline runs on a single H100 80 GB GPU within the real-time budget. Evaluated on the IWSLT 2026 development set, Pinch-AST achieves competitive quality–latency trade-offs across all four language pairs in both latency regimes.