Largest San Francisco, California Bay Area Technology Companies Combined Four Quarters 2019 Pretax Income Declines 6% From Comparable Prior Period. Three of the Four 2019 Quarters Had Pretax Income Declines Averaging 11% Per Quarter.

There are 38 San Francisco, California Bay Area Technology Companies with stock market caps above $20 bil very  recently.  One of those 38 hasn't released its December 2019 quarter earnings yet.  Another one didn't disclose quarterly earnings for all quarters.  That leaves 36.

From a review of SEC filings, below are the Gold-Standard US GAAP Pretax Income (Loss) From Continuing Operations for the remaining 36 San Francisco, California Bay Area Technology Companies in each of the four quarters of both 2019 and 2018.

`		US	US			US	US			US	US			US	US
		GAAP	GAAP			GAAP	GAAP			GAAP	GAAP			GAAP	GAAP
		Pretax	Pretax			Pretax	Pretax			Pretax	Pretax			Pretax	Pretax
		Income	Income			Income	Income			Income	Income			Income	Income
		(Loss)	(Loss)			(Loss)	(Loss)			(Loss)	(Loss)			(Loss)	(Loss)
San Francisco Bay Area		Dec	Dec			Sept	Sept			June	June			March	March
Largest Technology Companies	California	Quarter	Quarter			Quarter	Quarter			Quarter	Quarter			Quarter	Quarter
Market Caps Above $20 Bil	City HQs	2019	2018			2019	2018			2019	2018			2019	2018
		mils $	mils $			mils $	mils $			mils $	mils $			mils $	mils $
Software and Services Cos
Alphabet	Mountain View	10,704	10,072			8,628	10,083			12,147	4,215			8,146	10,543
Facebook	Menlo Park	9,169	7,971			7,329	5,912			4,832	5,868			3,482	5,610
Visa	San Francisco	3,974	3,630			3,711	3,538			3,866	2,812			3,677	3,217
Oracle	Redwood City	2,810	2,774			2,482	2,540			3,866	3,907			3,088	3,191
Netflix	Los Gatos	149	119			1,012	379			501	429			400	300
Adobe	San Jose	957	699			834	701			711	691			702	703
PayPal Holdings	San Jose	854	686			484	533			943	609			717	548
Salesforce.com	San Francisco	64	128			164	231			482	385			239	221
VMware	Palo Alto	666	345			1	772			540	1,175			591	625
Intuit	Mountain View	22	(14)			(137)	(193)			1,797	1,603			235	193
ServiceNow	Santa Clara	34	2			61	7			(16)	(41)			(11)	(7)
Workday	Pleasanton	(114)	(156)			(123)	(87)			(116)	(75)			(105)	(88)
Autodesk	San Rafael	96	12			67	(23)			9	(64)			33	(198)
eBay	San Jose	634	516			390	948			510	707			673	547
Atlassian Corp plc	San Francisco	142	27			74	(240)			(191)	(19)			(202)	(8)
Twitter	San Francisco	158	207			48	87			88	66			97	64
Electronic Arts	Redwood City	374	265			284	276			436	319			219	754
Veeva Systems	Pleasanton	90	68			81	56			77	46			69	42
Splunk	San Francisco	(59)	(54)			(95)	(103)			(152)	(120)			14	33
Synopsys	Mountain View	132	52			133	72			134	119			147	120
Cadence Design Systems	San Jose	105	109			117	100			129	90			128	78
Uber Technologies	San Francisco	(1,057)	(1,201)			(1,147)	(978)			(5,238)	(836)			(991)	4,327
Total all 22 Software and Services Cos		29,904	26,257			24,398	24,611			25,355	21,886			21,348	30,815
... % Change vs Prior Year Quarter		14%				-1%				16%				-31%
Apple	Cupertino	25,918	23,906			16,127	16,421			11,911	13,284			13,793	16,168
... % Change vs Prior Year Quarter		8%				-2%				-10%				-15%
Semiconductor Cos
Intel	Santa Clara	8,068	5,635			6,719	7,142			4,724	5,529			4,547	5,011
Broadcom	San Jose	747	1,422			544	1,229			657	1,099			278	795
NVIDIA	Santa Clara	959	1,081			606	1,180			389	1,311			324	1,078
Applied Materials	Santa Clara	840	875			782	1,077			759	1,261			888	1,183
Advanced Micro Devices	Santa Clara	205	3			126	114			37	123			4	90
Xilinx	San Jose	166	257			216	239			263	213			260	160
Total 6 Semiconductor Cos		10,985	9,273			8,993	10,981			6,829	9,536			6,301	8,317
... % Change vs Prior Year Quarter		18%				-18%				-28%				-24%
Other Tech Manufacturing Cos
Cisco Systems	San Jose	3,686	3,909			3,704	3,592			3,615	3,253			3,343	3,232
Lam Research	Fremont	673	660			525	591			609	958			586	772
HP Inc	Palo Alto	492	1,007			248	1,018			883	83			900	905
Palo Alto Networks	Santa Clara	(55)	(42)			(14)	17			(21)	(43)			2	(24)
KLA-Tencor	Milpitas	425	416			372	428			231	406			221	366
Fortinet	Sunnyvale	128	92			105	71			86	52			60	37
Western Digital	San Jose	(40)	81			(237)	583			(474)	729			(477)	(128)
Total 7 Other Tech Manufacuring Cos		5,309	6,123			4,703	6,300			4,929	5,438			4,635	5,160
... % Change vs Prior Year Quarter		-13%				-25%				-9%				-10%
Total all 36 Technology Cos		72,116	65,559			54,221	58,313			49,024	50,144			46,077	60,460
... % Change vs Prior Year Quarter		10%				-7%				-2%				-24%
Four Quarters Total Pretax Income
….. 2019		221,438
….. 2018		234,476
………. % Decline		-6%

Such poor earnings signal unhealthy future pay raises for the many already underpaid California non-executive employees.

California Company non-executive workers really have had the deck stacked against them for decades versus what is going on with the sky-high annual percentage pay and employee benefit raises of their Companies' Top-Tier Executives.

So which 2020 Democratic Presidential candidate could best help close this massive annual percentage pay raise gap between California Company Top-Tier executives and their already massively underpaid, hardworking California non-executive employees?

More than anything needed to solve this thorny problem is to possess exceptionally strong financial and data science skills, coupled with a keen understanding of how businesses operate.  And you also must have a high degree of  economic fairness. 

Joe Biden, Bernie Sanders, Elizabeth Warren and Amy Klobuchar all have little if any financial acumen, no data science understanding and little if any understanding of how businesses operate.

Further, all four of them worked for the US Government, particularly in the past ten years, when these comparative pay raise results of Top-Tier Executives and non-executive employees were so horrendous, not just in California but also in every other US State.  

On the positive side, all four of them have a high degree of economic fairness.

Michael Bloomberg has both the financial acumen and the understanding of how businesses operate.  

But he has no data science expertise. 

Also and most important of all, Bloomberg has a low degree of economic fairness.  In the many years he was accumulating his wealth of $60+ bil, US income inequality expanded dramatically in each year by leaps and bounds.  So, like many US business tycoons with their sole fixation on maximization of Company profits, Bloomberg accumulated his massive wealth on the backs of the declining US middle class and growing number of people dropped to the lower economic class.  And by his punitively racial "Stop and Frisk" policy, many New York City people of color were physically thrown against the wall.

And while he was accumulating his massive amount of wealth, Bloomberg was against unions.

I think there is only one Democratic Presidential candidate who has the requisite financial acumen, data science skills, understanding of how business operate and economic fairness to help turn the tide around on this massive, continuing US income inequality expansion caused mainly by the massive gap in annual percentage pay raises between executive and non-executive employees  ..... Pete Buttigieg.