High confidence

    Sphere revenue is an estimated $7.0M in annual recurring revenue.

    Sphere is a sales-tax compliance and automation platform for businesses. This page estimates Sphere's revenue, customers, growth, and unit economics from public traffic and pricing data — an estimated ~$7M ARR for the Series A billing & payments company, based in US.

    Stage
    Series A
    Founded
    HQ
    US
    Funding raised
    $25M
    Annual recurring revenueModeled estimate
    ~$7.0M
    Range $4.6M$9.5M
    $4.6M low$9.5M high
    Est. MRR
    ~$586K
    Modeled from public signals
    Revenue & growth

    Where Sphere's ~$586K of monthly revenue moves

    Modeled monthly-recurring-revenue movement — the new, expansion and reactivation revenue added against the contraction and churn lost.

    MRR movementlast full month
    New+$12K
    Expansion+$9K
    Reactivation+$2K
    Contraction-$3K
    Churned-$7K
    Net new+$13K
    Net new MRR
    +$13K

    Added revenue is running ahead of what's lost.

    Quick ratiohealthy > 4.0
    2.2

    Every $1 lost is offset by ~$2.2 gained.

    Web trafficdeclining
    33K+/mo
    Organic34%
    Direct46%
    Referral5%
    Paid0%
    Social13%
    Conversion funnel
    Visitor → signup
    benchmark 2%
    2%
    Visitor → paid
    benchmark 0.2%
    0.3%
    Traffic quality
    0.4%
    from AI assistants & answer engines
    80%
    organic / non-paid demand

    Source: SimilarWeb, Q2 2026

    What you can do with Sphere's estimate

    See it on your data

    Run this analysis on Sphere's real Stripe

    This page is modeled from public signals. Connect Stripe, read-only, and every figure becomes exact — with the actual account names behind each finding.

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    Under the hood

    How we estimate this — and what we don't claim

    Public signals, published peer benchmarks, a fitted model, and an honest range with a confidence tier. Reported figures override the model as Verified.

    Metrics vs. benchmark

    How Sphere compares to same-stage SaaS peers

    Each estimated metric is placed at its percentile against same-stage peers. The dot is Sphere; the tick is the peer median.

    Customer churnP50 · top 50%
    3%
    peer median3%

    Churn in the typical range for its stage.

    Gross MRR churnP50 · top 50%
    1.2%
    peer median1.2%

    Revenue leakage around the peer norm.

    Net MRR churnP95 · top 5%
    0.1%
    peer median0.3%

    Expansion outweighs losses — negative net churn.

    Gross revenue retentionP46
    82%
    peer median89%

    Retains revenue near the peer median.

    Net revenue retentionP47
    99.4%
    peer median106%

    Roughly flat net retention within the base.

    MoM growthP29
    2.3%
    peer median4%

    Growing slower than the typical peer.

    Customers & unit economics

    Roughly 977 accounts, 977 of them paying

    Total accounts
    977
    free + paying, estimated
    Paying customers
    977
    at ~$600/mo each
    Blended ARPU
    $600
    per paying account / mo
    Customer LTV
    $20K
    lifetime value, modeled
    Processing fees
    2.9%
    ~$17K/mo on payments
    Net cash flow
    $569K
    MRR less processing, /mo
    Est. ARR / customer
    $7K
    annual revenue per account
    Pricing & plan mix

    Sphere's published pricing

    Starter
    $100/region/mo
    Less than 10 regions, tax monitoring
    Growth
    Custom
    10+ regions, dedicated account manager
    Business health

    How healthy is Sphere's business?

    54/ 100
    Watch

    Solid fundamentals with one or two areas worth watching.

    MoM 2.3%Weak40
    NRR 99%Weak48
    Quick ratio 2.2Fair59
    CLV $20.2KStrong78
    What the agents would find

    North Metric's agents found an estimated
    $21K/mo in opportunities for Sphere

    And that's from public signals alone. Connect Stripe and every finding below carries the actual account names.

    Protect$5K
    Churn Radar$4K/mo
    Accounts with declining usage
    Usage-decline cohort flagged from engagement signals.
    Whale Alert$2K/mo
    Revenue concentration in top accounts
    Top accounts represent an outsized share of MRR.
    Recover$3K
    Payment Recovery$2K/mo
    Failed charges in retry window
    ~4.4% of charges fail; smart-retry addressable.
    Win-Back Engine$880/mo
    Recently churned, high re-engage odds
    Recent churned logos with strong prior engagement.
    Expand$12K
    Upgrade Finder$7K/mo
    Power users on lower tiers
    Feature usage exceeds current plan limits.
    Trial Closer$4K/mo
    Engaged trials nearing decision
    High-activation trials in the conversion window.
    Pricing Power$2K/mo
    ASP trails ARPU
    In-app upgrade prompts could lift realized price.
    Protect. Recover. Expand. your revenue.

    If we can find this from the outside, imagine what we'd find in your Stripe.

    Connect once, read-only. Your first nightly report — priced in dollars, with customer names — lands in the morning.

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    How much does Sphere make? Common questions

    How much revenue does Sphere make?

    We estimate Sphere generates about $7.0M in annual recurring revenue, most likely between $4.6M and $9.5M (high confidence). Sphere is private and doesn't disclose financials, so this is a model estimate from public traffic, demand, and pricing data.

    What is Sphere's ARR?

    Our estimate puts Sphere's ARR near $7.0M (~$586K/mo MRR).

    How many customers does Sphere have?

    We estimate roughly 977 paying customers, based on estimated revenue of $7.0M at about $600/mo per account.

    Is Sphere growing?

    Sphere's web traffic is currently declining, and we estimate revenue growth around 2.3% per month with net revenue retention near 99.4%.

    How much does Sphere cost?

    Sphere offers 2 plans (per-unit pricing), starting from the lowest listed tier.

    Is Sphere public or private?

    Sphere is a private, series a company founded in 2021, based in US. It has raised $25M.

    How accurate is this estimate?

    We validate our model on companies whose revenue is public: it lands within 2× of the real figure about 70% of the time, and within 3× about 90%. See our full methodology.

    How we estimate this — and what we don't claim

    01
    Public signals

    Web traffic, traffic mix, brand-search demand and published pricing — the signals anyone can see.

    02
    Peer benchmarks

    Published SaaS conversion, churn and retention rates — looked up, not invented.

    03
    Fitted model

    A demand model trained on companies whose revenue is public, reconciled with the traffic funnel.

    04
    Honest accuracy

    Validated blind: ~70% of estimates land within 2× of the reported figure, ~90% within 3×.

    Every figure is a model output with a stated range and confidence — never a claim of Sphere's actual books. Where a company publishes or a credible outlet reports a real number, we mark it Verified and lean on it. Read the full methodology. Last updated 2026-07-12.

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