diff --git a/INSTALL.rst b/INSTALL.rst
index fb98e3ea122f57544e28383814d70cc09688100c..985667bab70446e0693eb8ae1a85dba6f7797424 100644
--- a/INSTALL.rst
+++ b/INSTALL.rst
@@ -45,7 +45,7 @@ a NumPy-like Python package optimized for very small arrays,
 The following software is highly recommended though not strictly required:
  * `matplotlib <http://matplotlib.org/>`_ 1.5.1 or newer, for the module `kwant.plotter` and the tutorial,
  * `SymPy <http://sympy.org/>`_ 0.7.6 or newer, for the subpackage `kwant.continuum`.
- * `Qsymm <https://pypi.org/project/qsymm/>`_ 1.2.4 or newer, for the subpackage `kwant.qsymm`.
+ * `Qsymm <https://pypi.org/project/qsymm/>`_ 1.2.6 or newer, for the subpackage `kwant.qsymm`.
  * `MUMPS <http://graal.ens-lyon.fr/MUMPS/>`_, a sparse linear algebra library
    that will in many cases speed up Kwant several times and reduce the memory
    footprint.  (Kwant uses only the sequential, single core version
diff --git a/setup.py b/setup.py
index f292fc7dd633cd465f95393ea43c4e1ddbce819e..cef8c9f545c81c4eb49868ff125cde816237c2ec 100755
--- a/setup.py
+++ b/setup.py
@@ -588,7 +588,7 @@ def main():
               'plotting': 'matplotlib >= 1.5.1',
               'continuum': 'sympy >= 0.7.6',
               # qsymm is only packaged on PyPI
-              'qsymm': 'qsymm >= 1.2.4',
+              'qsymm': 'qsymm >= 1.2.6',
           },
           classifiers=[c.strip() for c in classifiers.split('\n')])