The Setup: A Changing Tune for ServiceNow
ServiceNow has been gaining ground after Guggenheim boosted its rating to a "buy" from "neutral," setting a $125 price target. The analyst's argument is that the stock has been beaten down too much and now represents an attractive entry point.
The bull case laid out by Guggenheim rests on several pillars: continued double-digit revenue growth, strong profitability, and improving demand from the federal government. In the firm's own words, they view ServiceNow as a well-run company that should see improvement.
The central overhang, however, is AI. Fears of disruption have been a persistent headwind for the stock. Guggenheim acknowledges this risk directly but frames it in measured terms — yes, AI is a risk, but it is "not the grim reaper that some seem to think."
The Broader Debate: AI Disruptor or Disrupted?
The framing question is whether ServiceNow becomes an AI disruptor or gets disrupted itself. This ties into a broader argument about where value accrues in the AI stack. One school of thought — echoing comments made by Alex Karp on CNBC that same morning — holds that you can build out all the data centers and compute infrastructure you want, but there also has to be an application layer, and there will have to be winners at that layer.
Wall Street's counterargument has been blunt: yes, but ServiceNow's moat has effectively collapsed because of AI, along with the moats of several other companies such as Salesforce. Under this view, the competitive protection these SaaS names once enjoyed is now in question.
The market's skepticism has been reflected in corporate behavior and price action alike. The stock has been performing terribly. Executives have moved defensively — they announced a buyback and canceled sale plans (adjusting capital-return and insider-selling behavior) in response to the pressure. It remains genuinely up for debate who the eventual winners will be and what the future revenue, earnings, and cash-flow streams will look like given the rise of AI.
On the other side of that debate, commentators like Dan Ives argue that names such as Salesforce and ServiceNow will be among the leaders at the application level — the very layer that will enable AI to boom their businesses going forward, rather than destroy them.
The Bull Case in More Detail: Governance and Enterprise Scale
A key structural argument for ServiceNow centers on its installed base and the operational reality of deploying AI. The company has over 8,700 enterprise clients. Even if the market assumes AI will take over IT and HR functions within these companies, those AI agents will still need a layer of governance and a layer of support to run. The question then becomes: who runs those agents? The answer is probably ServiceNow, and possibly some of the other established leaders in the space. In other words, someone has to run all of this AI across enterprise platforms, and ServiceNow is positioned to be that operator.
CEO Bill McDermott is also cited as a factor — when he gives interviews, he is usually pretty upbeat and optimistic, which colors the sentiment around the name.
The Bear Case and the Damage Done
The negative picture is stark. ServiceNow is down 56% from the all-time highs reached a year and a half ago, and it has behaved like a falling knife. This fits into a wider "SaaS apocalypse" — a broad sell-off across software-as-a-service stocks.
Fundamentally, the most damaging data point has been margin compression. Gross margins came in at 81.5% last quarter, and while that is still a very strong gross margin in absolute terms, the fact that it is decreasing is what spooked investors — they do not like to see margins heading in the wrong direction. The stock got walloped on that report as it slid into multi-year (roughly year-and-a-half) lows.
Valuation is a mixed signal. The trailing P/E is still elevated. The forward P/E, however, sits in the low 20s (described elsewhere as the high 20s on a trailing basis), which is somewhat more attractive and offers a better read on a valuation basis. Still, the market's posture is essentially disbelief: even when the company provides in-line guidance, investors "don't believe it" and have continued to punish the stock.
The Technical Picture
On the charts, ServiceNow appears to be trying to build a base. The rough floor is around $90. After the broader bounce, the stock rallied up to almost $140 back in May, then slid all the way back down to $90. The encouraging technical signal is that it did not make a new low — the prior low was around $81 in early April. The stock is now back above its 100-day simple moving average, which can be read as incrementally, if only marginally, bullish.
Over the past three months, after an earlier downtrend, the stock looks like it is finding sideways consolidation. Fundamentally, this may reflect a valuation that has reached a more attractive risk/reward level. A key upcoming catalyst is the earnings report on July 22nd.
There is also a rotation angle: if chips continue to see mean reversion because of concentrated positioning, software could become a beneficiary of incremental money flow, which would reinforce the bullish case.
An important note on the recent price action: the volume-weighted average price over the last three months clusters in the $90–$95 to $90–$100 range, meaning there has been a great deal of churn in that zone — it is the stock's "familiar" territory.
Example Trade #1 (Bullish): The Long Call Calendar Spread
The bullish "good cop" position is a long call calendar spread structured around the July 22nd earnings report:
- Long leg: Buy the 110 strike call for the July 24th (weekly) expiration — this expiration captures earnings.
- Short leg: Sell the 110 strike call for the pre-earnings July 17th expiration to help fund the long call.
- Net debit: Approximately $2.50.
The goal is for the stock to gravitate toward the 110 strike by the July 17th expiration, so that time value erodes the short 110 strike in the trader's favor. This does involve "threading the needle," but the P&L profile provides a range of profitability — roughly between $105 and $115 — so the stock does not have to land exactly at $110.
Why the profitability looks relatively muted (a narrow range) on the P&L chart: because the July 24th long leg captures earnings, its implied volatility firms up or stays firm going into the event. This is a long Vega strategy. As time passes toward the July 17th expiration, theta (time decay) works in the trader's favor by eroding the short option, while the Vega component supports the long option's value because earnings have not yet been reported. The long option holds firm on implied volatility and suffers less time decay, which is why the payoff looks skewed.
Management of the trade offers flexibility. If ServiceNow climbs to around 110 by July 17th, the trader can reassess: simply sell the 110 call for a profit, or — because the July 24th call retains value thanks to the embedded implied move ahead of unreported earnings — convert the position into a bull call spread to play the earnings event directly. The idea is to give the stock roughly six or seven trading days to climb toward the 110 area, then reassess going into earnings. One caveat: there is assignment risk on the short 110 strike. The suggestion is that one might close the position as it approaches July 17th expiration, once it starts to expand in price.
Example Trade #2 (Bearish): The Unbalanced Put Butterfly
The bearish counter-position takes advantage of the rally seen on the day to establish downside exposure cheaply, using an unbalanced put butterfly in the July 17th monthly options — a structure that deliberately avoids earnings by expiring before the report:
- Buy one 105 strike put (essentially at the money).
- Sell two 95 strike puts (the target level for maximum profitability).
- Buy one 92 strike put.
In essence, this is buying a bearish $10-wide put vertical while offsetting some of the cost by selling a $3-wide put vertical. The debit paid is roughly $3.00 — about $300 per spread — and that debit is the total risk.
The payoff characteristics: max gain occurs at the 95 strike at expiration, where the trade can return more than a double. Even if the stock falls below the 92 level, it still returns more than a double in profitability. The break-even to the downside is about $102, meaning the position does not need a large percentage move to work. There is room for flexible trade management, including closing early while the market is open.
The rationale ties back to the churn zone: with so much trading activity in the $90–$100 area over the prior months, a reversion back down toward that familiar range is plausible. Notably, the stock had run from $90 to $105 — about $15 — in roughly four trading days, so the bearish trade is essentially a bet on mean reversion and a cool-off back toward the $95–$100 area by July 17th.
Why the Two Traders Diverge on Earnings
The two example trades take opposite stances on the earnings event, and that is deliberate. The bullish calendar spread is built to engage earnings (its long leg spans the July 22nd report), while the bearish butterfly intentionally sidelines itself from earnings by expiring beforehand. The reasoning for avoiding earnings on the bearish side is that a name like ServiceNow could gap sharply higher or lower on its report, making it genuinely tough to have a sense of where it will trade. By taking a one-week timeframe that ends before earnings, the bearish trade sidesteps that binary risk and simply plays for a near-term mean reversion and cool-off.
