Thanks, Danny.
employees COVID We've XXX are and XXX Forrester XXX between we're support the in facilities, of XXX by those in the employees sales currently are we are departments. XX%. reduced XXX and fluctuated in XXXX since in employees. at origination, and servicing, personnel in In our rest
by of we've I interesting XXX blown think XXXX in very to XXXX employees, far billion roughly and important originated it's and employees. $X.X that we amount note so with in that same with note to originations the in volume
think forward, testament We to we're our safe at scale. now that's it's more leading think And going investment in to efficiencies. new I right and personnel say, to a technologies,
our we've of been renewal leases have to office come of terms up leases, In fortunate post-COVID. quite five for our four
commercial sort real a of able relocate to will to renew we crash save million bottom $X offices. we've $X between estate or the million our the So line. four to leverage that year to been believe the And us of
the $XXX in $XXX which QX, In albeit strong a that million, million demand to a had setting sales, slowdown earlier, XX% I to That's QX. compares in of record that continues, QX, our noted But slight compares more In thing interesting is we the still year in news Brad our applications in XXX,XXX applications We XXXX. good as XXX,XXX product. QX. is originated drop. for with think, QX and
So it's a increase of sequential X.X%.
the still is strong. So demand
So did I $XXX despite a QX you'll that million year. dip, analysis, That's the that compares I to said, middle think In we record-setting of $XXX when you like the increase year-over-year look at XX% year-over-year. XXXX, million, in year-over-year. we're that a see
is in to we in a again XXX,XXX increase. you QX which XX% that can XXX,XXX And see did XXXX, compares which applications, year-over-year,
was Q-over-Q raising mentioned, due and of the also rates slight the fees. Brad the our as in aggressive drop originations sequential nature our to So
growth originations our had. the When at XXXX, you see you entire of can the for we've year look really
originated far, compares in so record billion, year-over-year, in us. for same that is So, growth we've over a is which to $XXX,XXX XXXX, XX% which XXXX, time a the period and rate $X.X
standard. the is of to think rep the industry concentrating forward of force is of maintain some around One going -- we're that initiatives our right XXX, on we which
of working ultimate currently get far so base concentrating X,XXX, year, XX,XXX. which to upwards, large is We're which year XX% sits number dealers also X,XXX, this dealer another to groups, on been which to year-over-year. point the which which currently we also dealer as looking our our still a XX% we've to for increase grown growth. We're upwards, goal with at of increase at a have for has We're lever sits this funding us emphasis increase
greater compares to XXXX. up delinquencies over moving X.XX% than QX QX in at and our servicing, Switching XXXX which XX.XX%, XX including inventory, for ended days, to repo
compares annualized the portfolio, of the XXXX. charge-offs, at X.XX% for to average ended X.XX% of up which quarter third we For
pre-pandemic at we're It's not beating we're we have Pre-pandemic, to that pandit, note as as QX, And DQ. levels. and we're the I that, XX.XX% at that said, there. the experts mentioned, at XX.X% which significantly pre-pandemic were are running all levels, our previously running shows Brad important competitors said just
actually of positioned pre-pandemic by extensions year-over-year are levels. that are driven extensions, we our Those well tick In below intelligence. are in artificial flat terms they and a
In a repos. our sequentially, on terms but bit of running pre-pandemic up levels also our ticked they repos, still XX% below we're
in terms Value by a XX.X%. market, quite but recently dropped seen QX In Manheim about of levels. the general, historical Vehicle Index still the we've above recovery drop, In we're
the net It year, November the recovery For normalizing back and into our to XX%. XX% of end in seems climbed be of at it XXXX QX. height January to us, the currently in of mid-XXs last was
couple of miscellaneous A things.
originations intelligence by automation do to and we've that servicing We us the our will concentrated to entering learning instead in us. to time, machine into experience to in extract further three to things last information allow on like allow think looking to few robotic use over certain more will artificial will on partnerships is a dealer platforms process years, cut and us from to that do us build processing to with that a the the which and the continue that. down quarter specifically use allow four the concentrating processors bots they're for, utilizing that packages the dealers, frictionless what fund packages quicker of We the
and hour decisioning and We're more add calls things the significantly down collection per improve that also and the the contribute overall our wrap that expecting more think are to think Those of type cut will we our us into performance basis. notes, dollars monthly a which scorecards credit platforms, bolstering to are calls use further on we use, collect collection on bots to collectors will collection which our allow to time behavior efficiencies. into and our the our algorithms, listen and make populate overall
to I'll back with kick Brad. that, So it