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REFERENCE

R&D Tax Sector Benchmarks

Sector-by-sector benchmarking for the Australian R&D Tax Incentive. Direct (core) and supporting/indirect R&D ranges as a percentage of total business expenses, drawn from ATO R&DTI program data, AusIndustry sector guidance and ABS innovation statistics. These bands are educational - sitting outside the range does not by itself imply ineligibility.

Typical - commonly observed direct R&D range Elevated - outside common range but potentially valid Unusual - may benefit from extra substantiation Supporting - indirect activities

Healthcare & Medical

Sub-sectorTypicalElevatedUnusualSupportingContext
Dental clinics
Most clinical dentistry is routine treatment and excluded. Bona-fide R&D usually arises only where the practice runs structured experimental protocols.
0-3%≤8%>8%0-2%s355-25(2)(b) excludes activities whose outcome can be known from current knowledge.
General medical practice
GP clinics rarely generate experimental work other than registered clinical trials or distinct software arms.
0-3%≤7%>7%0-2%TR 2021/5 emphasises hypothesis-led experimentation.
Specialist clinics
Surgical and specialist clinics occasionally run formal protocols, device pilots or novel procedure development.
0-5%≤12%>12%0-3%Eligibility hinges on whether the procedure is genuinely novel and hypothesis-led.
Radiology / imaging
AI-assisted reading, novel imaging protocols and reconstruction algorithms drive a small but real R&D layer.
0-6%≤15%>15%1-4%Hardware purchases are not R&D; only the experimental development around them may qualify.
Pathology
Assay development, novel reagent validation and LIMS algorithm work can be eligible; routine testing throughput is not.
1-8%≤20%>20%1-5%Routine production once the underlying knowledge is established falls outside s355-25.
Allied health
Allied health is overwhelmingly service delivery. Eligible R&D usually means a digital tool or novel measured protocol.
0-3%≤8%>8%0-2%Customary clinical practice is excluded; documented experiments with measurable outcomes may qualify.
MedTech (device development)
Pre-TGA device companies are R&D-dominant. Post-approval intensity falls quickly as manufacturing scales.
30-70%≤85%>85%5-15%V&V testing required for regulatory approval is generally a supporting activity, not core R&D.
Biotechnology
Clinical-stage biotech runs near-pure R&D until commercial revenues appear.
40-85%≤92%>92%3-10%Clinical trial activity is supporting where it validates eligible core experimentation.
Pharmaceuticals (commercial)
Once products are on-market, sales, distribution and manufacturing dilute R&D intensity.
10-35%≤55%>55%3-10%Bioequivalence and routine reformulation often fall outside eligible R&D.
Digital health / health software
Behaves like SaaS but with additional regulatory and clinical-validation supporting activity.
25-70%≤85%>85%3-10%Validation of algorithm performance against clinical endpoints can qualify if hypothesis-led.

Technology

Sub-sectorTypicalElevatedUnusualSupportingContext
SaaS (pre-revenue / early-stage)
Engineering headcount dominates the cost base; revenue is yet to scale operations.
50-80%≤90%>90%5-15%AusIndustry recognises iterative software development where hypothesis-driven, not merely customisation.
SaaS (revenue-generating)
Sales, marketing, support and infrastructure operations dilute intensity once ARR scales.
15-40%≤60%>60%3-12%Routine maintenance, bug fixes, customer-specific config and BAU DevOps are excluded.
Custom software dev services
Client-funded build work is typically excluded; only internal IP or genuinely novel methods qualify.
3-15%≤30%>30%1-5%Where the client owns the IP and bears the risk, the work is generally not on own behalf.
Cybersecurity
Detection-engine and protocol R&D qualifies; SOC operations and managed-service delivery do not.
20-55%≤75%>75%3-10%Threat-intel collection and incident response are operational, not experimental.
AI / ML
Model architecture, training-regime experimentation and evaluation methodology drive direct R&D.
35-75%≤88%>88%5-15%Applying off-the-shelf models without genuine algorithmic uncertainty is typically not eligible.
Data platforms / analytics
Pipeline and query-engine R&D qualifies; dashboard configuration and data-ops do not.
20-50%≤70%>70%3-10%Performance optimisation can qualify only where measurable hypotheses are documented.
FinTech
Core ledger, risk-engine and protocol work qualifies; KYC, compliance ops and licensing do not.
25-55%≤75%>75%5-15%Regulatory compliance work is excluded; underlying engineering uncertainty may still qualify.
Deep tech / R&D-heavy startups
Quantum, photonics, advanced materials, novel semiconductors etc. often have minimal non-R&D spend.
50-90%≤95%>95%3-12%Capital equipment purchases are not R&D; their consumable use during experiments may be.
Hardware
Prototype iteration, EVT/DVT cycles and test-rig builds drive intensity; production tooling is excluded.
20-55%≤75%>75%5-15%Reverse-engineering existing products is separately excluded under s355-25(2)(g).
Pre-revenue tech startup (general)
Headcount is engineering-heavy; commercial functions are minimal.
45-85%≤92%>92%5-15%Founder time can be claimed at reasonable apportionment if directly engaged in experimental activity.

Engineering & Manufacturing

Sub-sectorTypicalElevatedUnusualSupportingContext
Advanced manufacturing
Process and product development qualifies; serial production is excluded.
8-25%≤45%>45%3-10%Routine production once knowledge is established is not a core activity under s355-25.
Industrial manufacturing
Capital-intensive operations with concentrated, episodic R&D around new lines or retools.
2-10%≤20%>20%1-5%Capital equipment is depreciable; only the experimental use of it is potentially eligible.
Food manufacturing
Recipe development, shelf-life trials and process scale-up may qualify; existing-product runs do not.
2-10%≤20%>20%1-5%Routine QC, regulatory labelling and packaging changes are excluded.
Chemical manufacturing
Formulation, catalyst and process R&D can sustain a meaningful intensity layer.
4-15%≤30%>30%2-7%Scale-up trials must be hypothesis-led to remain eligible; routine bulk production is not.
Industrial / mechanical engineering
Project-based, with R&D concentrated in prototyping and validation phases.
3-12%≤25%>25%1-6%Standard engineering design from established principles is not eligible.
Mining equipment / METS
Equipment design, autonomy software and processing innovation drive intensity.
5-20%≤40%>40%2-8%On-site trials may be supporting; routine maintenance is not eligible.
Materials science
Pre-commercial materials companies are R&D-dominant; scale-up shifts the ratio.
25-70%≤85%>85%3-12%Characterisation testing may be supporting where it validates hypothesis-led experimentation.

Construction & Property

Sub-sectorTypicalElevatedUnusualSupportingContext
Residential construction
Residential build is overwhelmingly routine. Genuine R&D usually involves novel materials or modular systems.
0-3%≤8%>8%0-2%Customary trade practice is excluded (AusIndustry Building & Construction guidance).
Commercial construction
Project-based, with rare experimental work around novel facade, structural or services systems.
0-3%≤8%>8%0-2%First-of-type problems within Australia can qualify if hypothesis-led and documented.
Modular / prefab construction
Connection systems, load-path verification and factory-process R&D drive eligible activity.
3-12%≤25%>25%1-6%Recurrent production runs of a validated module are excluded.
Construction technology (ConTech)
Software, robotics and digital-twin platforms behave like SaaS / hardware.
25-65%≤82%>82%5-15%Pure construction services delivered alongside the platform must be carved out.
Ranges synthesised from public ATO R&DTI program statistics, AusIndustry sector guidance and ABS innovation surveys. Not legal or tax advice - confirm with your registered tax agent before lodging.
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