San Francisco → Frankfurt flights

SFO–FRA typically runs $365 — bottom quartile sits under $336

Key takeaways

• Median fare of $365 across 30 daily snapshots is a reliable anchor for budgeting this route.
• Bottom quartile fares sit at or below $336, meaning roughly 1 in 4 observed prices were near the low end.
• The low of $329 and high of $597 show an 81% spread — well above typical route volatility, so timing matters more here than usual.
• Most days cluster between the $336–$391 (p25–p75) range, suggesting that band is the realistic target rather than the absolute low.
• With only 30 days sampled, this reflects a single snapshot window, not a full seasonal cycle.

30-day price trend

See full numbers and stats on the SFO → FRA price history page.

The full picture

The data shows a wide gap between typical and worst-case pricing on SFO–Frankfurt: a $365 median against a $597 high means occasional fare spikes are pulling the range up significantly, even though most fares stay much closer to $336–$391. That 81% spread is large enough to say this route has real volatility — travelers who buy during a spike could pay 60%+ more than the median without any obvious change in trip quality.

We don't have route-specific data on how prices move within the booking horizon (i.e., how fares change as departure approaches), so we can't respons­ibly say prices soften at a specific number of weeks out. What we can say is that the bottom-quartile fares ($336 or below) did occur within this 30-day sampling window, meaning sub-$340 fares are achievable, not hypothetical — they showed up often enough to define the 25th percentile, not as one-off outliers.

No dominant carrier was identifiable in this dataset, and no day-of-week pattern is visible from the snapshot structure we have, so we're not going to speculate on that front. The practical takeaway: budget around the $365 median, treat anything at or under $336 as a good fare worth booking quickly, and be aware that this route occasionally spikes toward $500-600, likely tied to specific dates or demand surges outside this dataset's visibility. The honest caveat: 30 days of cached snapshots is a decent sample for current pricing behavior, but it's a snapshot in time — it doesn't capture full seasonal swings (e.g., summer peak vs. winter low), so treat these figures as a current-conditions guide rather than a year-round forecast.

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