By: Johannes Fiegenbaum on 5/22/25, 11:08 AM · Last updated September 5, 2026
Carbon accounting fails in young companies for reasons that have little to do with climate science. The numbers exist somewhere: in invoices, in travel bookings, in a supplier's ERP system you have no access to. The work is getting them into one boundary, one method and one owner. Here is where that breaks, and what fixes it.
Many startups struggle with accurately capturing CO2 data because they often lack a structured infrastructure. Instead, they frequently use simple spreadsheets, which leads to inaccurate and hard-to-access data. Fragmented systems make consistent data collection difficult and leave gaps in reporting. The spreadsheet is not the villain here. It fails at the point where a second person has to reproduce a number nobody wrote a method down for.
The second break is external. Scope 3 emissions, which originate from the supply chain, are particularly difficult to capture in manufacturing industries. Since these emissions often account for a large share of total emissions, the lack of transparency within the supply chain becomes a major problem. Especially missing direct relationships with smaller suppliers make data collection significantly harder. For a hardware or clean manufacturing startup, purchased goods and services usually dominate the inventory before a single machine is switched on.
Simple tools for CO2 accounting quickly reach their limits. Manual entries not only take a lot of time but also lead to errors. Without automated processes or ERP integrations, the work becomes inefficient.
The fourth failure is ownership. If stakeholders are not sufficiently involved, the quality of CO2 accounting suffers. In practice the inventory belongs to nobody: finance owns the invoices, operations owns the sites, and the footprint is a side task for whoever asked for it last.
I have built ESG reporting software and a climate risk analytics stack myself. That is worth saying here, because it changes what I can tell you about tools: not that they fail, but where. A tool automates collection wherever a machine-readable source exists, an energy bill, a fuel card, a travel booking. Everything else it estimates, and it rarely tells you which of the two you are looking at. A Scope 2 figure derived from a grid average and one derived from a supplier contract look identical in a dashboard.
The background is in ESG Reporting Software Costs in Germany: How to Compare Vendor Quotes.
That difference surfaces the moment a customer or an auditor asks how a number was produced. Categories differ less in features than in where they draw the line:
| Tool category | What it automates | What stays yours |
|---|---|---|
| Spreadsheet with a factor set | The arithmetic, nothing else | Boundary, factors, method notes, versioning |
| Carbon accounting platform | Scope 1 and 2 collection, factor updates, report export | Supplier data, allocation rules, acting on the result |
| ERP or accounting add-on | Spend-based Scope 3 from ledger data | Mapping spend categories to activity, and correcting it |
| Consultant-run model | Method choices and documentation | Data supply, and continuity when the engagement ends |
Fixing those four breaks is method work, not tool work. Set the boundary before collecting anything. The GHG Protocol gives you the organisational and the operational boundary; write down which entities and sites sit inside it, and why. A boundary decided after the data arrives is always the one that flatters the number.
Record emissions clearly separated by Scope 1, 2, and 3 and work with actual consumption data where it exists. Use published emission factors from one source per year and record the version you used. Mixing factor sets between years is the most common reason a real reduction disappears on recalculation.
Where supplier data does not exist, estimate. A spend-based estimate for purchased goods and services, built from your own ledger, is a defensible first-year answer under the Scope 3 Standard, provided you say that is what it is. The failure mode is not the estimate. It is the estimate presented as a measurement.
Then give the inventory one owner with the authority to ask finance for an export. Every startup footprint I have seen stall has stalled on access, not on method.
Most first footprints are not triggered by conviction. They are triggered by a questionnaire: a customer inside EU reporting scope needs value chain data and has passed the request down to you. The ESG questionnaire is the real entry point to this work.
That request is narrower than it looks. Across 1,401 public 2024 and 2025 sustainability reports from European listed companies, 69 percent carry complete Scope 1, 2 and 3 figures, 13 percent publish no extractable Scope data at all, and 8 percent of those reporting a Scope 3 figure show it smaller than Scope 1 or 2, which is a methodological red flag rather than a good result.
The bar for a supplier is a documented number, not an exact one. The reporting rules your customer works under, and the VSME standard written for companies your size, ask for the scope split, the method and the boundary. Investors add one question on top: what the number is expected to do next year.
A workable sequence for a first inventory:
A first inventory built this way is not audit grade and does not need to be. It needs to be reproducible next year, by a different person.
Usually a documented spreadsheet plus a spend export from your accounting system. A platform pays off once several people enter data, or once you answer more than one customer reporting format a year.
Accurate enough that a second person can reproduce it from your method note. Scope 1 and 2 should rest on bills; large parts of Scope 3 will be spend-based estimates in year one, which is defensible as long as it is stated.
For most young companies Scope 3 is the footprint, so leaving it out makes the result unusable even where no rule forces it. A screening estimate across all categories, with detail only where the numbers are large, is the pragmatic version.
Your scope split, the method and factor source behind it, the boundary, and which figures are estimates. A stated estimate is answerable; a blank field ends the conversation.
ESG and sustainability consultant based in Hamburg, specialised in VSME reporting and climate risk analysis. Has supported 300+ projects for companies and financial institutions, from mid-sized manufacturers to major banks and insurers.
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