GetBusy plc (GETB) Fair Value & Analysis
Technology · GB · Market cap 34.2M GBX
Fair value as of: Jul 13, 2026
From 12 valuation models · updated 28 days ago
Share price +6.7% over the past month.
A solid business, but screening 69% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (£0.2600). The favourable scenario is already priced in.
- Solid but not exceptional quality (55/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 13, 2026.
How to read this chart
60‑month range £0.4144 – £0.8953 · fair‑value band £0.1500 – £0.2600 · the £0.6750 price screens above the £0.2100 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 13, 2026.
Analysis
GetBusy plc (GETB) currently trades at £0.6750, while our model-based Fair Value estimate is £0.2100, implying the stock looks roughly 68.9% overvalued today. The Quality Score stands at 55/100 (solid quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: medium).
Over the trailing twelve months, GetBusy plc generated revenue of £22.1M at a net margin of -6.6%. Revenue grew 3.3% year over year. Fundamentals as of Jul 13, 2026
Our scenario range runs from £0.1500 (bear case) to £0.2600 (bull case); at £0.6750, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. For context, the median of 10 Technology peers we cover trades at -27% fair-value upside, at -69%, GETB screens richer than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 12 models by family
Widest divergence: Growth DCF (£0.5900) versus Dividend Discount (£0.1100). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 57 · Market factors (momentum, volatility) 61
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
GetBusy plc, a SaaS company, provides productivity software for professional and financial services in the United Kingdom, the United States, Australia, and New Zealand. It operates through SmartVault and Workiro segments. The company offers SmartVault, a cloud document management and workflow platform; Virtual Cabinet; and Workiro.
Full company description
GetBusy plc, a SaaS company, provides productivity software for professional and financial services in the United Kingdom, the United States, Australia, and New Zealand. It operates through SmartVault and Workiro segments. The company offers SmartVault, a cloud document management and workflow platform; Virtual Cabinet; and Workiro. It also provides a range of tools and end-to-end workflows, such as digital asset, tailored templates, quote/proposal development, form-fill, authentication, e-signatures and approvals, workflow and task management, chat, and complex digital certifications. GetBusy plc was incorporated in 2017 and is based in Cambridge, the United Kingdom.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
GetBusy plc reported revenue of £22.1M in FY2025 versus £15.4M in FY2021, a compound +9.3%/yr. Reported net income was −£1.4M in FY2025.
GETB screens 69% overvalued. Compare with SAP SE →
Peer Group
Software - Application · 709 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Software - Application median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
VALUE 0: the price sits above our fair-value range.
PAST 0: with negative equity (buybacks among others) return on equity is not meaningfully computable.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Software - Application stocks, each showing price versus our Fair Value estimate (as of Jul 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| SAP SE SAPS | C$12.69 | C$16.26 | +28% |
| Shopify Inc SHOP | C$173.23 | C$20.54 | -88% |
| Uber Technologies, Inc UBER | $72.67 | $51.11 | -30% |
| Salesforce, Inc CRM | $170.77 | $182.10 | +7% |
| ServiceNow, Inc NOW | $107.71 | $33.12 | -69% |
| Cadence Design Systems, Inc CDNS | $384.17 | $80.41 | -79% |
| Snowflake Inc SNOW | $271.87 | $34.04 | -87% |
| Adobe Inc ADBE | $230.61 | $379.48 | +65% |
| Automatic Data Processing, Inc ADP | $241.92 | $177.51 | -27% |
| Intuit Inc INTU | $291.09 | $258.69 | -11% |
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data, nothing guessed.
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