Jet fuel prices double, leading airlines to increase baggage fees, raise fares



A worker fuels a Delta Airlines plane at Salt Lake City International Airport on April 09, 2026. As fuel prices continue to rise amid the war in Iran, airlines around the world are canceling flights and scaling back routes due to surging jet fuel prices.

A worker fuels a Delta Airlines plane at Salt Lake City International Airport on April 09, 2026. As fuel prices continue to rise amid the war in Iran, airlines around the world are canceling flights and scaling back routes due to surging jet fuel prices.
A worker fuels a Delta Airlines plane at Salt Lake City International Airport on April 09, 2026. As fuel prices continue to rise amid the war in Iran, airlines around the world are canceling flights and scaling back routes due to surging jet fuel prices.
Justin Sullivan/Getty Images North America

Jet fuel prices have roughly doubled since the start of the war in Iran, a price increase even sharper than the spikes seen in gasoline and diesel.

In response, airlines around the world are cutting routes, raising fares, adding fuel surcharges and boosting baggage fees.

In Asia, some countries have been rationing fuel and restricting exports to cope with the profound shock to fuel supplies and to jet fuel in particular. "This is an Asian crisis," says George Shaw, an analyst at the trade analytics firm Kpler. "They're in a worse position than anyone else."

In Europe, several groups have raised alarm bells. Fatih Birol, the head of the International Energy Agency, recently told the Associated Press that Europe has "maybe six weeks or so [of] jet fuel left."

The Airports Council International Europe, a group representing airport operators, sent a letter to the European Commission earlier this month warning that if "significant and stable" passage doesn't resume through the Strait of Hormuz by the end of April, "systemic jet fuel shortage is set to become a reality for the EU" — although some analysts are skeptical that shortages would set in so quickly.

The world’s 3 top jet fuel producers have been knocked out

Traffic of ships through the strait of Hormuz remains at a trickle. That affects jet fuel, one of many products refined from crude oil, in two different ways.

One, the Persian Gulf is home to many refineries that make jet fuel and export it around the world. The disruption at the strait is blocking that finished product from making it to market.

And two, crude oil from the Gulf — the unprocessed stuff — is typically shipped to refineries around the world, including to significant producers of jet fuel in Asia. The near-closure of the strait is blocking that raw material too.

The finished product and the raw material are both feeling supply shocks. "It's really a double whammy," Shaw says.

To put the scale of this disruption into perspective: The top three global exporters of jet fuel are China, South Korea and Kuwait. China has banned exports of jet fuel and South Korea has had to cut back on production, in both cases because they can't get enough crude to make it. And Kuwait can make jet fuel just fine — but can't send it anywhere.

That's the three top global suppliers of aviation fuel, all essentially knocked out of business simultaneously.

U.S. can’t fully escape the global crisis

Europe and Asia have been particularly affected because they rely directly on crude oil and refined products shipped out of the Persian Gulf. But even the U.S. — the world's largest oil producer and a net exporter of jet fuel — is interconnected to this global system.

California has been importing some jet fuel from Asia "for quite a while," says David Ruisard, the head of U.S. products assessment at the commodities intelligence group Argus. Refineries have been shutting down in California, with some companies citing the state's environmental regulations as a factor.

Meanwhile, the U.S. makes abundant jet fuel in refineries in Louisiana and Texas, but that fuel would have to travel down to the Panama Canal to make it to Los Angeles; it's actually cheaper and easier to bring in a tanker from South Korea, which is in a crunch now. "It could be a problem for imports reaching that market" along the U.S. West coast, Ruisard says.

Delta Airlines says it’s going to cost an additional $2 billion this quarter

In the U.S., major airlines used to practice fuel hedging, using financial instruments to lock in prices for fuel in advance. That paid off when prices spiked, but cost money when prices fell, and U.S. airlines have stopped doing it, calculating that it wasn't worth it. That means in this current price spike, they're stuck with a giant bill.

Delta Airlines recently estimated, on an earnings call with investors and analysts, that higher fuel prices would cost them an additional $2 billion this quarter. And Delta is actually relatively better off than most airlines because they own a refinery of their own.

"We woke up this morning with a very different set of fuel assumptions than we had when we went to bed," said Delta CEO Ed Bastian, speaking metaphorically about the dramatic shift in prices since the war began. He said Delta was cutting back on unprofitable flights, and "recapturing" higher fuel costs by raising prices for customers — who still seem to be buying tickets, he said.

But Delta isn't worried about shortages within the near future, he says. Shaw, with Kpler, says that raising ticket prices and cutting unprofitable routes should be enough to keep shortages at bay, at least in the U.S. and Europe — Asia may be a different story.

Prices expected to remain elevated

Even if ship traffic through the Strait of Hormuz went back to normal tomorrow, prices would stay high for weeks.

It takes time to restart production in the oil fields in the Middle East forced to shut down because they had nowhere to put their crude. It takes time to get the complex processes of a refinery back up and running. And that's assuming the refineries are functional; Rystad Energy has estimated that oil and gas facilities in the Middle East have suffered as much as $50 billion worth of damage from the war.

And once everything is back up and running? Well, then it takes time for tankers full of oil and fuel to travel around the world — a built-in delay that has helped buffer some importers from shocks in the past few weeks, but means they now also face a long gap before feeling relief if the war does resolve.

Last week, according to Argus, the last shipment of jet fuel to pass through the Strait of Hormuz arrived in Europe. It had been loaded on Feb. 28, before the war began; it took weeks to make its journey.

No more deliveries are en route now. And if the strait reopened and a tanker left today, it would still be weeks before it arrived.

"The market's effectively seized up," says Shaw. "It will take a long time for it to get back to a semblance of normality, even in the most optimistic scenario."

Copyright 2026, NPR



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Explain CAP

CAP theorem is also called Brewer’s theorem, which stands for Consistency, Availability, and Partition Tolerance.

Consistency: 

This situation expresses, all nodes have similar information simultaneously. Implementing a read function will return the estimation of the latest write function making all nodes provide similar information. A framework has consistency if an exchange begins with the framework in a reliable state, and finishes with the framework in a predictable state. A framework can (and does) move into a conflicting state during an exchange, however the whole transaction gets moved back if there is a mistake during any process all the while. We have 2 unique records (“Bulbasaur” and “Pikachu”) at various timestamps given in the picture below. The result on the third part is “Pikachu”, the most recent input. The nodes will require time to refresh and won’t be available on the organization as frequently.

Consistency

Availability:

This situation provides that each solicitation gets a reaction on success/failure. Accomplishing availability in an appropriated framework necessitates that the framework stays operational 100% of the time. Each customer gets a reaction, paying little heed to the condition of any individual node in the framework. This measurement is trifling to quantify: possibly you can submit the read/write commands, or you can’t. Thus, the databases are time autonomous as they should be accessible online consistently. In contrast to the past model, we couldn’t say whether “Pikachu” or “Bulbasaur” was included at first. The result could be any one among both. Consequently, high accessibility isn’t feasible when dissecting streaming information at high frequency.

Availability

Partition Tolerance: 

This situation expresses that the framework keeps on operating, in spite of the quantity of messages being deferred by the organization among nodes. A framework which is partition tolerant can support any measure of organization failure which does not bring about a failure of the whole network. Information records are adequately duplicated across blends of nodes and organizations to maintain the framework up through discontinuous blackouts. While managing current distributed frameworks, Partition Tolerance is a requirement and not a choice. Thus, we need to exchange among Consistency and Availability.

Partition Tolerance

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Distributed Database Systems 

In a NoSQL type dispersed data set framework, Different PCs, or nodes, cooperate to give an impression of a unique operating database unit to the client in a NoSQL type distributed database system. They store the information among these numerous nodes. Every one of these nodes operates an event of the database server and they converse with one another. At the point when a client needs to write to the database, the information is suitably kept in touch with a node in the disseminated data set. The client may not know about where the information is composed.

Essentially, when a client needs to recover the information, it interfaces with the closest node in the framework that recovers the information for it, without the client thinking about this. Along these lines, a client essentially communicates with the framework as though it is connecting with a solitary information base. These nodes recover information that the client is searching for, from the important node, or putting away the information given by the client. 

The advantages of a distributed system are very self-evident. The expansion in rush hour gridlock from the clients, we can undoubtedly scale our information base by including more nodes to the framework. As these nodes are commodity equipment, they are moderately less expensive than adding more assets to every one of the nodes independently. Horizontal scaling is less expensive than vertical scaling. The horizontal scaling assures that the replication of information is less expensive and simpler. It implies that now the framework can undoubtedly deal with more client traffic by fittingly appropriating the traffic among the recreated nodes.

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What is the CAP Theorem?

The CAP theorem states that a distributed database system has to make a tradeoff between Consistency and Availability when a Partition occurs.

A distributed database framework will undoubtedly have partitions in a certifiable framework because of network failure or some other explanation. Along these lines, partition tolerance is a property we can’t dodge while setting up the framework. A distributed framework will either decide to abandon Consistency or Availability however not on Partition tolerance. For instance, if a partition happens among two nodes, it is difficult to give steady information on both the nodes and accessibility of complete information. Consequently, in such a situation we either decide to settle on Consistency or on Availability. A NoSQL circulated database is either portrayed as  AP or CP. CA type information bases are for the most part the solid databases which operate on a solitary node and give no conveyance. Subsequently, they need no partition tolerance.

Where can the CAP theorem be used as an example?

The CAP theorem can indeed serve as an illustrative example within the realm of distributed database systems. When setting up a distributed database framework, it is inevitable to encounter partitions due to network failures or other unforeseen circumstances. Hence, partition tolerance becomes a necessary property that cannot be avoided in such a system. In this context, the CAP theorem comes into play. It states that a distributed framework must make a trade-off between either consistency or availability, as it is not possible to achieve both simultaneously when a partition occurs between two nodes. For instance, during a partition, it becomes challenging to maintain consistent data on both nodes while ensuring complete data availability. As a consequence, in such scenarios, we are left with the choice of prioritizing either consistency or availability.

To better understand this, it is essential to consider the different types of distributed databases. NoSQL distributed databases can be characterized as either AP or CP. AP databases prioritize availability and partition tolerance over strict consistency. On the other hand, CP databases prioritize consistency and partition tolerance at the expense of availability. These distinctions become crucial when deciding the appropriate database type for specific use cases.

CAP Theorem NoSQL Database Types

NoSQL (non-relational) databases are suitable for distributed network applications. NoSQL databases are horizontally adaptable and disseminated by layout, it can quickly scale across a developing network comprising different interconnected nodes.They are characterized dependent on the two CAP attributes they uphold: 

CP database: A CP database conveys partition tolerance and consistency at the cost of accessibility. At the point when a partition happens between any two of the nodes, the framework needs to shut down the non consistent node (make it inaccessible) until the partition is settled. 

AP database: An AP database conveys partition tolerance and accessibility at the cost of consistency. At the point when a partition happens, all nodes stay accessible however those at some unacceptable end of a partition may return a more established rendition of information than others.  

CA database: A CA database conveys accessibility and consistency among all nodes. It will not be able to do this if there is a partition in between any two nodes  in the framework, in any case, and can’t convey adaptation to internal failure.

Spaces defined by CAP

CD Space: The engines of this space concentrate on accessibility and consistency, information dispersion doesn’t prevail. It is the spot where Relational Databases are placed, in spite of the fact that we can likewise discover some NoSQL engines which are diagrammatically arranged. 

ND Space: This doesn’t receive any Databases engine and is an empty set. It repudiates the CAP Theorem on the grounds that with the most recent innovation it can’t achieve with three of the Theorem features. 

DT Space: Here, the resistance of divisions and consistency are favored, leaving to the side certain degree of accessibility. Confronting a network division, these Databases couldn’t react to particular sorts of inquiries.

CT Space: Here the engines will support the accessibility and resistance of divisions, however that doesn’t mean they do not provide any consistency as it is relative and can’t ensure between nodes. 

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Conclusion

Distributed frameworks permit us to accomplish a degree of computing ability and accessibility that were essentially not accessible previously. The frameworks have better performance, lower inertness, and close to 100% up-time in servers which last till the whole globe. The frameworks are operated on product hardware which is effectively accessible and configurable at moderate expenses. Distributed frameworks are more intrinsic than their single-network partners. Learning the intricacy brought about in distributed frameworks, making the fitting compromises for the CAP, and choosing the correct apparatus for the task is essential with horizontal scaling.

 



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