Have you ever wanted to know exactly when your data was last updated in Power BI? It’s important to know when your data is accurate and up-to-date. But, did you know the built-in Power Query method for finding the last refresh time is not always reliable?
Especially when your refresh takes place in a different time zone. In this article, we’ll show you a simple and reliable way to create a last refresh datetime value in Power BI, that takes into account the correct daylight savings time. So you can be sure your data is accurate and up-to-date all the time. Let’s get started!
Table of contents
Retrieve Local DateTime
The easiest way to create a last refresh datetime value in Power BI is by using Power Query. Most solutions I find use the DateTime.LocalNow function to get the current date and time:
= DateTime.LocalNow() // Returns the current DateTime value of your machineThe DateTime.LocalNow function returns the current date and time of the machine where the refresh takes place. In some situations, this returns the expected results, but beware! You may not always get the expected value when you publish your report to the Power BI service.
When you configure your report with a scheduled refresh, it may be that the location where your report refreshes is in a different country than where your users live.
You can check this by going to the Power BI Service.
Click the Question Mark in the top right corner -> click About Power BI.
You now get a pop-up that shows details about your Power BI tenant. One of these lines shows where your data is stored in, followed by the location.
Important
Here’s the thing. The location where the scheduled refresh takes place impacts the datetime value returned by the DateTime.LocalNow function. In the above picture, the data resides in Ireland.
The last refresh Date Time stamp in your Power BI report, therefore, shows the time in Ireland. In the Netherlands, where I live, daylight saving time is always 2 hours ahead of Ireland. Therefore, reports show the wrong time.
So, how can we handle this so the function always returns at the right time? And how do we make sure the time accounts for the Daylight Savings time, too (GMT + 1 in winter and GMT + 2 in summer)?
Fix: DateTimeZone with Daylight Saving
The key to making this work is to make use of the DateTimeZone.UtcNow() function. This function returns the UTC (Universal Time Coordinated) value, previously known as GMT. No matter the location of your machine, this function always returns GMT + 0 / UTC time.
For retrieving both the DateTimeZone value and the UTC Date, you can then use the following:
= UTC_DateTimeZone = DateTimeZone.UtcNow()
= UTC_Date = Date.From( UTC_DateTimeZone )The trick is to convert UTC to the local time. To do that, you need to account for Daylight Saving Time (winter and summertime). For the logic, we need to know the start of each period. So when do they both start?
- Summertime starts on the last Sunday of March
- Wintertime starts on the last Sunday of October
It’s a little tricky to get that date but bear with me. To find the last Sunday in March, you can do the following:
= #date( Date.Year( UTC_Date ), 3, 31 ) // Returns last date in March
= Date.StartOfWeek( LastSundaymarch, Day.Sunday ) // Returns latest Sunday in MarchYou can easily combine these to find the Start of both the winter- and summertime:
StartSummerTime = Date.StartOfWeek( #date( Date.Year( UTC_Date ), 3, 31),
Day.Sunday )
StartWinterTime = Date.StartOfWeek( #date( Date.Year( UTC_Date ), 10, 31 ),
Day.Sunday ) You now need to define how much the time should be offset. The Netherlands uses UTC + 2 in Summertime and UTC +1 in wintertime. You can add a variable returning the offset value:
= if UTC_Date >= StartSummerTime and UTC_Date < StartWinterTime
then 2 else 1With this in mind, you can now return the last updated timestamp by offsetting the UTC time with the relevant number of hours. The function for this is DateTimeZone.SwitchZone.
= DateTimeZone.SwitchZone( UTC_DateTimeZone, UTC_Offset )
// Returns the current datetime value respecting Daytime Saving hoursAnd that’s the last piece of the puzzle to turn UTC to local for your last refresh date in Power BI.
Code Fix: Last Refresh Date
When you put all of this together, you get the following script:
let
UTC_DateTimeZone = DateTimeZone.UtcNow(),
UTC_Date = Date.From(UTC_DateTimeZone),
StartSummerTime = Date.StartOfWeek(#date(Date.Year(UTC_Date), 3, 31), Day.Sunday),
StartWinterTime = Date.StartOfWeek(#date(Date.Year(UTC_Date), 10, 31), Day.Sunday),
UTC_Offset = if UTC_Date >= StartSummerTime and UTC_Date < StartWinterTime then 2 else 1,
CET_Timezone = DateTimeZone.SwitchZone(UTC_DateTimeZone, UTC_Offset)
in
CET_TimezoneThis returns the correct DateTime value regardless of the machine that performs the scheduled refresh. And that should give us some peace of mind.
You can also allow your users to provide the summertime and wintertime offsets by offering them a function. This is useful in case you need a template that needs to work for multiple time zones.
(Summer_GMT_Offset as number, Winter_GMT_Offset as number) =>
let
UTC_DateTimeZone = DateTimeZone.UtcNow(),
UTC_Date = Date.From( UTC_DateTimeZone ),
StartSummerTime = Date.StartOfWeek( #date( Date.Year( UTC_Date ) , 3 , 31 ), Day.Sunday ),
StartWinterTime = Date.StartOfWeek( #date( Date.Year( UTC_Date ) , 10, 31 ), Day.Sunday ),
UTC_Offset = if UTC_Date >= StartSummerTime and UTC_Date < StartWinterTime then Summer_GMT_Offset else Winter_GMT_Offset,
CET_Timezone = DateTimeZone.SwitchZone( UTC_DateTimeZone, UTC_Offset)
in
CET_TimezoneConclusion
So there you have it, a simple and reliable way to create a last refresh datetime value that takes into account daylight savings time. Now, you can be sure that your data is accurate and up-to-date, even during the times of the year when the clocks change.
Remember, the built-in Power Query method using the DateTime.LocalNow function can be unreliable, so this method is the preferred one. Give it a try and see how it works for you! Keep in mind that this approach can be applied to other similar scenarios to make sure your data is accurate and reliable.
And with that, your report refresh time should always return the right value. Enjoy Power Query!
Recommended Reading…
Power Query Foundations
Beginners Guide to Power Query
List Functions (200+ Examples)
Text Functions (150+ Examples)
Creating Tables (40+ Examples)
Generate the Ultimate Date Table
Advanced Topics
Master List.Generate with Easy Examples
Deep Dive into List.Accumulate
actually this is incorrect, right? – for the SecondSunday in March – you need to add 7 when March 1st is actually the first day of the week (since it is supposed to be the SecondSunday) – For Example, in 2026 this actually happens. Without adding 7, the code brings back March 1st as the start of DST. This is wrong as we need to add 7 days to March 1st to be March 8th 2026, so it should be:
SecondSundayInMarch =
Date.AddDays (
#date ( Date.Year ( UTC_Date ), 3, 1 ),
if Date.DayOfWeek ( #date ( Date.Year ( UTC_Date ), 3, 1 ), Day.Sunday ) > 0
then 14 – Date.DayOfWeek ( #date ( Date.Year ( UTC_Date ), 3, 1 ), Day.Sunday )
else 7
For the second sunday in March, I would set the date to the 8th of march of the year of your current date. Then move it to the end of the week, where the start of the week is Monday. That should always get a second sunday of March.
Hope that helps!
One small caveat: You need to make sure that the datatype of your column is “datetimezone”.
I had problems when I set the datetype to be “datetime” only, and it ended up either giving an error or giving the time in Ireland.
Rick gracias por tan excelente orientación del tema. He intentado traer el ejercicio a mi necesidad pero no logro que tome la hora de actualización al momento de publicar mi informe en Power BI services. Me encuentro ubicado en Colombia, y la configuración que muestra mi Power BI Services es la siguiente:
Data Location Centro-sur de EE. UU. (Texas)
Time Sat Mar 22 2025 08:15:41 GMT-0500 (hora estándar de Colombia)
Podrías ayudarme como logro ajustar el código para mi necesidad. Gracias quedo atento
Rick, thank you for such excellent guidance on the topic. I’ve tried to adapt the exercise to my needs, but I can’t get it to reflect the update time when publishing my report in Power BI Services. I’m located in Colombia, and the settings my Power BI Services displays are as follows:
Data Location: South Central US (Texas)
Time: Sat Mar 22 2025 08:15:41 GMT-0500 (Colombia Standard Time)
Could you help me adjust the code for my needs? Thank you. I’ll be happy to hear from you.
Here is a function I made (basing to your code) to change UTC datetime column to your local fixed timezone.
I’ve used that lookup trick via using only measures to display data that has to be shown in local time, each measure going through a calculation group that modifies the underlying measures’ results with the users’ looked-up offset. What’s tricky is when you use this with workday measures (e.g. when does your week and day start and end?); it’s worse for modeling processes that hand off stuff between timezones.
Thanks Rick I found your post very useful.
I have questions though. Your method is supposed to show the refresh date anytime I click refresh button in PowerBI or anytime I schedule the report to refresh right?
Is there a way to show only the date for when the underlying data (table) used to create a report is updated? Because I do not want the card changing dates anytime refresh button is clicked.
A little scenario will help you better understand what I mean. I just updated the data (table) for my PowerBI reports. I used your code in a card visual and it rightly shows the time I updated the data. The problem is anytime I click refresh, it gives me a different time even though the underlying data remains the same. I only want to the card to display visual for when the underlying data was updated and not when the refresh button clicked.
I hope this makes my query clearer and hope you have an answer because I have googled this for sometime and every article I have seen only talks about refresh
The refresh date will update automatically everytime the corresponding query is updated, this is, everytime you manually press “Refresh” in Power BI desktop or in Power BI service, or everytime a scheduled refresh is triggered. However, if you are in Power BI desktop, if you refresh data from a single table (and not the whole dataset), the value won’t change.
If you want to add the time when a certain table has been refreshed, you could use something like a dataflow. The dataflow must include the data query itself and also another query with the above code indicating the refresh time of the dataflow. Everytime you refresh the dataflow, the refresh time will also update, and you can import that value in your reports (and it won’t change unless you refresh the dataflow).
I want to get time zone of user who has signed in power bi service and want to show it in a visual, how can I achieve it.
Hi Rick,
Thanks for this article and I love your ! As for examples from other time zones, here in Canada, Toronto we are not so lucky and time changes Second Sunday in March and First Sunday in November so it’s a bit more complicated :-). I’ve included my M code for anybody interested, it adds the columns to the table for easy checking:
Regards,
Hi Aurora,
So glad to read you got the code working for the Toronto daylight savings. Many thanks for sharing. For easier copy-pasting that would make the following code:
Excellent, Thanks Rick
Hi Rick, I really liked reading this post. very helpful.
When working for an executive with direct reports in the US, Ireland, and Australia, I found that DST comes and goes on different weeks in each of those countries so anybody looking to generate a DST solution should consult a reference such as timeanddate.com, where you can find not only the recent and next dates of DST but the rules. I’ve poked at a few solutions involving USERPRINCIPALNAME() and a user/location mapping table to show each user his/her local refresh time.
Ken,
That’s a great idea. It would make for a really interesting solution. You could create a UTC time, and have the offsets for summer and wintertime in a table. Then write your DAX with RLS that takes into account the accounts that logs in.
You mention having poked at a few solutions. Did they work in the end?
Amazing! Thanks Rick. This has been puzzling me for quite some time.
This is very helpful. I always have to go back each time to amend the differences.
This should help you out. And feel free to change the offset numbers to fit your Timezone. It should work for any Daylight Saving Time 😁👌