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Compare Siemens Energy price targets only after aligning the publication date, forecast horizon, currency, rating, reference share price and the assumptions behind each estimate. A dated consensus is a snapshot of analyst opinions, not a promise that the share will reach the average. For example, MarketScreener’s October 12, 2026 snapshot listed 26 analysts with an average target of €197.42, a €100 low, a €260 high and a €146.78 last close. Those figures are useful only with that provider and date attached.
What an analyst price target actually measures
A price target is an analyst’s estimate of where a share could trade at a specified future point, based on a financial model and a valuation method. The target is not the same as a forecast of next quarter’s price, a guaranteed return or the company’s own guidance. Ratings such as Buy, Hold or Sell express the analyst’s view relative to the target and perceived risks.
Every target has a time stamp. Results, orders, guidance, interest rates, energy prices, currency movements and changes to a company’s outlook can make an older target materially different from a newer one. Put the publication date beside every number in your notes or spreadsheet; never present a bare euro figure as if it were current.
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Targets also differ in scope. A broker may publish a single target for a stated 12-month period, while a company’s investor-relations consensus document may show earnings estimates for several fiscal years without giving a share-price target. Those are related but different data sets and should not be merged into one “consensus price.”
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The Siemens Energy figures and dates you can compare
| Publisher or broker | Date and measure | Target or consensus data | Rating or horizon | Important qualification |
|---|---|---|---|---|
| MarketScreener | October 12, 2026 snapshot | 26 analysts; average €197.42; low €100; high €260; last close €146.78 | Consensus target; horizon not stated in the snapshot cited | A dated provider snapshot, not a permanent or universal consensus |
| UBS Investment Bank | January 23, 2026 target history | €175 | Buy | Historical target; target-price adjustments are made for splits, rights issues and dividends |
| UBS Investment Bank | July 20, 2026 target history | €210 | Buy | Later target in the disclosed history; the page also discloses UBS holding a long position of at least 0.5% of listed shares |
| Investing.com | Poll described as covering the previous three months | Provider’s analyst table and average | 12-month target poll when shown | Sample, refresh dates and methodology can differ from other providers |
| Siemens Energy investor relations | Consensus publication dated April 22, 2026 | Sell-side estimates and estimate counts by fiscal year | Fiscal-year forecasts, not a single broker price target | The company says estimates are subjective, cannot be independently verified and are not investment advice |
The MarketScreener values imply roughly 34.5% upside from the cited €146.78 close to the €197.42 average, calculated as (197.42 ÷ 146.78 − 1) × 100. That arithmetic describes the relationship between two numbers in the same dated snapshot; it does not predict a realized return.
A repeatable method for comparing targets
1. Set the comparison date
Choose the market-price date that will anchor your comparison. If you are reviewing a historical decision, use the close available when the analyst published the target. If you are making a current review, use one clearly stated close date for every independent upside calculation. Record the provider’s retrieval date as well, because consensus pages can update without changing their page title.
Do not silently mix the October 12 MarketScreener close with a target published months earlier and describe the result as that broker’s own expected return. You may calculate a common-date comparison as an additional analytical exercise, but label it as yours and preserve the original publication context.
2. Create one row for every analyst call
Use a spreadsheet or table with these columns:
- Broker or analyst name and publication date.
- Target price and currency.
- Stated horizon, such as 12 months; write “not stated” when the source does not specify one.
- Rating and whether the call was initiated, maintained, raised or lowered.
- Share price used for the analyst’s own implied-upside calculation, including that price’s date.
- Change from the previous target.
- Key operating and valuation assumptions actually disclosed by the analyst.
- Relevant ownership, underwriting or other broker disclosures.
This layout prevents a high target with a short horizon from being compared as if it were a five-year valuation, and it makes revisions visible instead of burying them in an average.
3. Align currencies and share classes
Convert targets to a common currency only when you can document the exchange rate and conversion date. Siemens Energy targets in euros should not be averaged with targets in another currency without conversion. Check that every figure refers to the same listed share and that any adjustment for splits, rights issues or dividends has been applied consistently.
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UBS explicitly notes that its historical target prices are adjusted for stock splits, rights issues and dividends. That disclosure matters when you compare its January and July history with an unadjusted archive from another source.
4. Align the forecast horizon
A 12-month target and a target with no stated horizon are not interchangeable. Investing.com describes a 12-month target poll and says its data is a poll of estimates from the previous three months. MarketScreener’s cited snapshot supplies an average and range but does not state a common horizon in the information available here. Keep those categories separate rather than assigning an assumed horizon.
5. Check the reference price behind the upside
Analysts often calculate upside from the price on the day their note was issued. A provider may instead display the latest close. If the reference dates differ, the same target can show different percentages even though the target itself is unchanged. Record both the target and the reference-price date.
For your own common-date comparison, use (target price ÷ share price on the chosen date − 1) × 100. Apply the formula to every target using the same close and identify the calculation as a comparison aid, not as a forecast. Do not combine a target in euros with a share price in another currency.
6. Record revisions, not just levels
A target’s direction can be more informative than its absolute level. In UBS’s disclosed history, the rating remained Buy while the target moved from €175 on January 23, 2026 to €210 on July 20, 2026. That is a €35 increase, but it does not by itself reveal whether the change came from higher earnings forecasts, a different valuation multiple, lower perceived risk or a change in the analyst’s model period. Read the accompanying note when you need the reason.
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7. Read the assumptions that are actually published
Look for revenue growth, order intake, margins, free cash flow, capital expenditure, balance-sheet risk, discount rates, valuation multiples and scenario probabilities. Do not infer these inputs from the headline target. The available material does not expose a complete, synchronized set of assumptions for every analyst, so mark unavailable fields as “not stated” instead of filling them with guesses.
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8. Review disclosures and conflicts
Broker relationships can affect how you interpret a target, even when they do not invalidate it. UBS’s page discloses that UBS holds a long position of 0.5% or more of the listed shares. Keep such disclosures beside the rating and target, rather than placing them in a footnote that readers may miss.
How the main consensus sources differ
MarketScreener: a broad dated snapshot
The October 12, 2026 MarketScreener snapshot is useful for seeing the spread of views: 26 analysts, a €197.42 average, a €100 low and a €260 high, against a €146.78 last close. The €160 range between low and high is large relative to the average, so the average alone hides substantial disagreement.
Because the figures are a snapshot, label them with the provider and date whenever you quote them. Do not imply that all 26 estimates were refreshed on the same day or that the set is exhaustive at the instant you publish; the cited information does not establish either point.
Investing.com: a rolling poll and firm-level recommendations
Investing.com presents a 12-month target poll when specified and lists recommendations by firm. It describes the data as a poll over the preceding three months. That rolling window means its sample may contain estimates published at different times from the MarketScreener snapshot. Compare the provider, sample window, retrieval date and horizon before comparing averages.
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Siemens Energy’s own consensus document
The company’s April 22, 2026 consensus publication reports sell-side estimates and the number of estimates available for different fiscal years. It is not a broker target-price consensus and it predates the company’s Q3 FY26 update. Siemens Energy states that the estimates are subjective sell-side forecasts that cannot be independently verified, and that the document is informational rather than investment advice with no guarantee of accuracy or completeness.
Use this document to understand the earnings assumptions analysts were collecting at that date, not to claim it is the latest October share-price target. If you need a current number, refresh the provider pages immediately before publication and show the retrieval date.
Put targets in Siemens Energy’s operating context
Operating news can explain why targets move, but it cannot validate a valuation. Siemens Energy’s investor-relations summary for Q3 FY26, released August 5, 2026, reported record orders, revenue and profitability and said the FY26 outlook was confirmed. The summary said profit margin before special items was expected toward the upper end of the guided range.
Chief executive Christian Bruch described the quarter this way: “Global demand for electricity – and consequently for our products – remained strong in the third quarter. We delivered record orders, revenue, and profitability, while continuing to improve efficiency. The fact that our wind business has returned to profitability in a quarter for the first time since 2022 is a fantastic achievement by this team”.
These facts help you identify events an analyst may have incorporated into a July or later model. They do not settle questions about future margins, cash conversion, execution, valuation multiples or downside risks. A strong quarter can coexist with a lower target if the analyst believes expectations already discount the improvement.
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How to interpret the range instead of over-trusting the average
The average is not a probability-weighted forecast
An arithmetic average gives every included estimate equal weight. It does not tell you which scenario is most likely, whether analysts share the same assumptions or how often their targets have been revised. Treat it as a summary statistic, not a forecast distribution.
The low and high reveal model disagreement
In the cited October snapshot, the €100 low and €260 high surround the €197.42 average by a wide margin. Investigate the reasons: different earnings paths, valuation multiples, risk premiums, exchange-rate assumptions, treatment of the wind business or different forecast horizons. If the source does not disclose those reasons, say so rather than inventing an explanation.
Watch the direction of revisions
If several analysts raise targets after results while one remains unchanged, the dispersion may reflect different update speeds rather than fundamentally different long-term views. Conversely, simultaneous cuts can indicate a shared change in assumptions. You need dated histories to distinguish those cases; a single consensus page cannot show the sequence.
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Common comparison errors and how to fix them
- Mixing dates: Fix it by printing the publication date next to every target and the close date next to every reference price.
- Combining currencies: Convert with a documented rate and date, or keep currencies in separate columns.
- Assuming every target is 12 months: Use “not stated” where no horizon appears.
- Comparing a company earnings consensus with a price target: Keep fiscal-year estimates separate from share-price targets.
- Quoting an average without its range: Show the low, high, analyst count and provider date together.
- Calling an old target current: Check for a later note, results release or guidance change before publication.
- Inferring assumptions: Report only inputs the analyst or provider actually discloses.
- Ignoring disclosures: Include ownership or other relevant broker interests beside the call.
- Treating calculated upside as a promised return: Label the formula output as a mechanical comparison.
- Assuming a provider sample is exhaustive: State the sample construction and acknowledge that different services poll different sets of analysts.
A practical worksheet and decision framework
For each target, answer the following questions before ranking it:
- When was it published? Place it before or after the most recent results and guidance.
- What is the horizon? Confirm 12 months, another period or no stated horizon.
- What currency and share basis are used? Verify that the comparison is like-for-like.
- What price anchors the upside? Record the analyst’s reference close and date.
- Was the target changed? Note the previous target and whether the rating changed.
- Which assumptions are visible? Capture disclosed operating, cash-flow and valuation inputs; leave unknowns blank or marked not stated.
- What disclosures apply? Record ownership, underwriting or other relevant interests.
- How does it sit in the range? Compare it with the provider’s low, average and high without treating any one point as authoritative.
After completing the worksheet, make separate judgments about data quality and investment attractiveness. A recent target with transparent assumptions may be more useful for analysis than a higher target with an unknown date, but neither is automatically correct. Your conclusion should explain the evidence and uncertainty rather than simply selecting the largest number.
When to refresh the comparison
Refresh the table after Siemens Energy reports results, changes guidance, publishes a material business update or when a major broker issues a new note. Also refresh when the provider’s analyst count or polling window changes. Preserve the old snapshot in a dated column so you can see whether the consensus is moving and whether the range is narrowing or widening.
For an article or investment memo, write the retrieval date in the same sentence as every consensus statistic. The October 12, 2026 MarketScreener figures and the April 22, 2026 Siemens Energy consensus publication should never be presented as if they were synchronized; they measure different things and were issued months apart.
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The defensible way to compare Siemens Energy analyst targets is to normalize dates, horizons, currencies and reference prices, then examine revisions, assumptions, dispersion and broker disclosures. Use the €197.42 MarketScreener average, the €100–€260 range and the UBS €175-to-€210 history as dated evidence, not as a guaranteed path for the share. Consensus is most useful when it shows where analysts disagree and why—not when it is reduced to one headline number.
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