diff --git a/wally/console_report.py b/wally/console_report.py
new file mode 100644
index 0000000..bfa8881
--- /dev/null
+++ b/wally/console_report.py
@@ -0,0 +1,40 @@
+import numpy
+
+from cephlib.common import float2str
+
+from . import texttable
+from .hlstorage import ResultStorage
+from .stage import Stage, StepOrder
+from .test_run_class import TestRun
+from .suits.io.fio import FioTest
+from .statistic import calc_norm_stat_props, calc_histo_stat_props
+from .suits.io.fio_hist import get_lat_vals
+
+class ConsoleReportStage(Stage):
+
+    priority = StepOrder.REPORT
+
+    def run(self, ctx: TestRun) -> None:
+        rstorage = ResultStorage(ctx.storage)
+        for suite in rstorage.iter_suite(FioTest.name):
+            table = texttable.Texttable(max_width=200)
+
+            table.header(["Description", "IOPS ~ Dev", 'Skew/Kurt', 'lat med', 'lat 95'])
+            table.set_cols_align(('l', 'r', 'r', 'r', 'r'))
+
+            for job in sorted(rstorage.iter_job(suite), key=lambda job: job.params):
+                bw_ts, = list(rstorage.iter_ts(suite, job, metric='bw'))
+                props = calc_norm_stat_props(bw_ts)
+                avg_iops = props.average // job.params.params['bsize']
+                iops_dev = props.deviation // job.params.params['bsize']
+
+                lat_ts, = list(rstorage.iter_ts(suite, job, metric='lat'))
+                bins_edges = numpy.array(get_lat_vals(lat_ts.data.shape[1]), dtype='float32') / 1000  # convert us to ms
+                lat_props = calc_histo_stat_props(lat_ts, bins_edges)
+
+                table.add_row([job.params.summary,
+                               "{} ~ {}".format(float2str(avg_iops), float2str(iops_dev)),
+                               "{}/{}".format(float2str(props.skew), float2str(props.kurt)),
+                               float2str(lat_props.perc_50), float2str(lat_props.perc_95)])
+
+            print(table.draw())