Microlise Group (SAAS) Fair Value & Analysis
Technology · GB · Market cap 44.1M GBX
Fair value as of: Jul 18, 2026
From 13 valuation models · updated 24 days ago
Share price +2.6% over the past month.
A solid business, screening 65% undervalued on our models.
What matters now
- The price is below even our cautious bear case (£0.5200). The market is more pessimistic than our downside scenario.
- Solid quality (56/100) at a price below fair value, the discount is the argument here, not the business quality.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 18, 2026.
How to read this chart
60‑month range £0.3654 – £2.24 · fair‑value band £0.5200 – £0.7900 · the £0.3950 price screens below the £0.6500 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 18, 2026.
Analysis
Microlise Group (SAAS) currently trades at £0.3950, while our model-based Fair Value estimate is £0.6500, implying the stock looks roughly 64.6% undervalued today. The Quality Score stands at 56/100 (solid quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium), always confirm before acting.
Over the trailing twelve months, Microlise Group generated revenue of £84.4M at a net margin of -0.9%. Revenue grew 12.6% year over year. It earns a return on equity of -1.1%. The balance sheet holds a net cash position of £12.9M. Fundamentals as of Jul 18, 2026
Our scenario range runs from £0.5200 (bear case) to £0.7900 (bull case); at £0.3950, the current price sits below 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 65%, SAAS screens cheaper 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 13 models by family
Widest divergence: Growth DCF (£1.11) versus Dividend Discount (£0.2000). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 18, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 56 · Market factors (momentum, volatility) 18
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
Microlise Group plc provides transport management technology solutions in the United Kingdom, Rest of Europe, and internationally.
Full company description
Microlise Group plc provides transport management technology solutions in the United Kingdom, Rest of Europe, and internationally. The company offers fleet telematics products, including fleet tracking, fleet utilization, driver performance, driver communications, trailer telematics, temperature monitoring, and focus telematics; fleet safety management, multi-camera vehicle systems, AI distraction cameras, tachograph management, bridge strike warning, and vehicle health products; journey management products comprising schedule and route management, planning and optimization, customer communications, and workforce and resource management; and delivery management products, such as electronic proof of delivery and sub-contractor management. It also provides distribution and remote asset management, and predictive maintenance services. It serves transport, logistics, light commercial, fleet, defense, security, plant, agriculture, original equipment manufacturer, and channel industries, as well as humanitarian aid and NGO. Microlise Group plc was founded in 1982 and is headquartered in Nottingham, the United Kingdom.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Microlise Group reported revenue of £84.0M in FY2025 versus £57.0M in FY2021, a compound +10.2%/yr. Reported net income was −£2.2M in FY2025.
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Peer Group
Software - Application · 710 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.
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 18, 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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