diff --git a/src/torchjd/aggregation/_cagrad.py b/src/torchjd/aggregation/_cagrad.py
index 40a5d5b0..150ebb76 100644
--- a/src/torchjd/aggregation/_cagrad.py
+++ b/src/torchjd/aggregation/_cagrad.py
@@ -135,5 +135,5 @@ def __repr__(self) -> str:
         return f"{self.__class__.__name__}(c={self.c}, norm_eps={self.norm_eps})"
 
     def __str__(self) -> str:
-        c_str = str(self.c).rstrip("0")
+        c_str = str(self.c).removesuffix(".0")
         return f"CAGrad{c_str}"
diff --git a/tests/unit/aggregation/test_cagrad.py b/tests/unit/aggregation/test_cagrad.py
index 6cb5e968..921cce13 100644
--- a/tests/unit/aggregation/test_cagrad.py
+++ b/tests/unit/aggregation/test_cagrad.py
@@ -60,6 +60,22 @@ def test_representations() -> None:
     assert str(A) == "CAGrad0.5"
 
 
+@mark.parametrize(
+    ["c", "expected"],
+    [
+        (0, "CAGrad0"),
+        (0.0, "CAGrad0"),
+        (0.5, "CAGrad0.5"),
+        (1, "CAGrad1"),
+        (1.0, "CAGrad1"),
+        (10, "CAGrad10"),
+        (100.0, "CAGrad100"),
+    ],
+)
+def test_str_keeps_significant_zeros(c: float, expected: str) -> None:
+    assert str(CAGrad(c=c)) == expected
+
+
 def test_c_setter_updates_value() -> None:
     A = CAGrad(c=0.5)
     A.c = 1.25