How to use Germany’s district‑heat price portal to check an address, download 12‑month tariff history and model tenant pass‑throughs for 2027

What the portal is (and what to check first)

Germany is moving to a single federal transparency platform for district‑heat prices, but an industry‑run national transparency site already publishes downloadable price tables. The federal ministry published the government’s policy outline for a mandatory, central price‑transparency platform on 26 August 2026; until the federal operator is launched you can use the existing transparency site to get network tariff data and monthly snapshots. ([bundeswirtschaftsministerium.de](https://www.bundeswirtschaftsministerium.de/Redaktion/DE/Pressemitteilungen/2026/08/20260826-eckpunkte-waermenetzpaket.html?utm_source=openai))

Before you start, don’t assume an address automatically maps to the town’s municipal utility. Many cities contain several independent district‑heat networks (different operators, different tariff structures). The property’s last Wärmeabrechnung (district‑heat bill) or the local municipal/utility pages usually give the operator name; if not, use the transparency site’s tables to match the town or network name. The federal administrative portal also records that network operators must submit price data. ([verwaltung.bund.de](https://verwaltung.bund.de/leistungsverzeichnis/de/leistung/99063091261000))

Step 1 — find the network for a specific address

1) Check the property’s most recent district‑heat bill — the supplier name and 'Versorgungsgebiet' are normally printed there. If you do not have a bill, consult the municipal energy/utility pages or contact the local Stadtwerk.

2) If you still cannot identify the operator, download the transparency platform’s most recent 'Preisübersicht' Excel and search for the town name or known operator names (the file is a table of networks and tariffs by 'Stichtag'). The transparency site keeps monthly snapshots you can download for past Stichtage (date checkpoints). ([waermepreise.info](https://www.waermepreise.info/download-archiv/))

3) Note the exact network name and any network code listed — you will use this string to extract tariff rows from each monthly file.

Step 2 — build a 12‑month tariff history (practical)

1) From the transparency site’s download archive, save the last 12 monthly Preisübersicht Excel files for the period you need (for modelling 2027 you will typically take the 12 months immediately prior to your model start date). The platform provides per‑Stichtag files you can open in Excel. ([waermepreise.info](https://www.waermepreise.info/download-archiv/))

2) In a spreadsheet, create one sheet per Stichtag and filter for the network name you noted. Important tariff fields to extract are work price (Arbeitspreis, €/kWh or ct/kWh), fixed/connection price (Grundpreis, €/month or €/year) and any capacity/leistung price (€/kW). If a file contains a network code or geographic indicator, copy that too — it confirms you have the correct network row.

3) Assemble the 12 rows in a single 'history' sheet with columns: Stichtag, Arbeitspreis, Grundpreis, Leistungspreis, notes (e.g., 'index clause', 'new supplier'). This gives you the tariff time series you need for cost modelling.

Step 3 — how to model tenant pass‑throughs for 2027

This section explains a modelling approach you can use in a spreadsheet. It does not replace legal advice — whether and how increases may be passed to tenants depends on the lease, the building’s cost allocation rules and German rental law.

Model inputs (placeholders to replace with real data): annual heat consumption for the building or apartment (kWh), current allocation method (metered to flat, central meter + apartment allocators), the 12‑month work price series from the history sheet (ct/kWh or €/kWh), and fixed charges (Grundpreis/year). Formula (per apartment): annual_cost = annual_kWh × mean_work_price + (Grundpreis_allocated) + (capacity_charge_allocated). Use the 12‑month series to compute the mean_work_price or to model a scenario where the supplier moves to a new tariff on a future date.

Scenario modelling: create columns for 'current 12‑month average', 'supplier announces +X % from 1‑Jan‑2027', and 'index‑linked increase' (if contract includes a formula). Recalculate annual_cost for each scenario and compare the delta to current tenant charges to show monthly extra €/month per tenant. Keep every assumption in a visible cell and export a simple one‑page summary for the tenant or investor.

Practical tips, risks and next steps

Practical tips: save each monthly Excel, keep the network name/code in your spreadsheet, and keep copies of the property’s last two Wärmeabrechnungen. If the network rows are ambiguous, email the listed network operator (their contact often appears in the transparency file) to confirm the correct tariff row. The transparency platform is maintained by industry at present and provides monthly Stichtag files you can download. ([waermepreise.info](https://www.waermepreise.info/download-archiv/))

Risks and next steps: the federal government set out plans on 26 August 2026 to make a federal platform mandatory and to strengthen price oversight; that may change reporting cadence and data fields once implemented. If you are modelling landlord/tenant liabilities for investment decisions, get a Rechtsanwalt für Mietrecht or a Hausverwalter to confirm pass‑throughs under the specific lease and to check if any municipal rules apply. ([bundeswirtschaftsministerium.de](https://www.bundeswirtschaftsministerium.de/Redaktion/DE/Pressemitteilungen/2026/08/20260826-eckpunkte-waermenetzpaket.html?utm_source=openai))