Published • loading... • Updated
Russia Lost over 50,000 Soldiers in September, Bloomberg Reports
The estimate includes about 28,000 killed as Moscow keeps pressing attacks along the front, while Ukraine’s losses were put at about 5,000.
- On Oct. 11, a NATO official told Bloomberg that Russian forces suffered over 50,000 personnel losses in September, the highest monthly total in 2026, including upwards of 28,000 soldiers killed.
- Ukraine's General Staff reported 46,230 Russian losses in September, corroborating NATO's figures and showing casualties rose from 31,710 in January, an increase of nearly 46%.
- As of Oct. 11, the General Staff reported Russia suffered 1,552,840 personnel losses since the February 2022 full-scale invasion; President Volodymyr Zelensky estimated the total killed or wounded exceeds 1.5 million.
- Ukraine's Armed Forces suffered 5,000 casualties in September, according to the NATO official, while Defense Minister Mykhailo Fedorov previously argued Ukraine aimed to "kill 50,000 Russians per month" to undermine Moscow's war effort.
- Ukrainian intelligence reports Russia's General Staff is prepared to mobilize around 300,000 people in 2026, though Moscow does not publish comprehensive casualty data and these figures cannot be independently verified.
Insights by Ground AI
67 Articles
67 Articles
ProtothemaReposted by 
Pentapostagma
PentapostagmaDuring the same period, the Ukrainian army suffered approximately 5,000 dead and wounded, while it regained more than 125 square kilometers of territory.
·Marousi, Greece
Read Full Article
The war in Ukraine, which has been going on for four and a half years, has seen a new turning point with the intervention of Donald Trump. The former US President negotiated an energy agreement with Vladimir Putin,...
According to a NATO official, Russia suffered more than 50,000 casualties in Ukraine last month, including 28,000 killed. Ukrainian losses were around 5,000. The offensive is exacting a heavy price.
Coverage Details
Total News Sources67
Leaning Left12Leaning Right4Center7Last UpdatedBias Distribution52% Left
Bias Distribution
- 52% of the sources lean Left
52% Left
L 52%
C 31%
R 17%
Factuality
To view factuality data please Upgrade to Premium
