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133 · Space based earth observation & analytics

Watching the planet at commercial cadence

Curve position

Liftoff

Binding constraint

Turning imagery into decisions people will pay for repeatedly.

Heatmap / How this sector's stocks are moving

1 Day −5.09% #160 of 180 sectors #26 of 30 in Liftoff · avg −0.29%
1 Week −9.36% #149 of 180 sectors #22 of 30 in Liftoff · avg −3.60%
1 Month −18.09% #147 of 180 sectors #22 of 30 in Liftoff · avg −7.18%
Year to date −11.55% #142 of 180 sectors #20 of 30 in Liftoff · avg +4.50%
The companies that make up this sector on the heatmap
StockPrice1 Day1 Week1 MonthYear to date
$PL $12.65 −6.37% −11.72% −31.88% −35.85%
$BKSY $16.77 −3.84% −12.24% −25.99% −10.56%
$SPIR $8.38 −3.68% −13.16% −23.68% +11.73%
$LHX $259.74 −6.46% −0.33% +9.18% −11.52%
Sector average −5.09% −9.36% −18.09% −11.55%

Prices as of November 5, 2026. The sector's move is the equal-weighted average of these listed companies, a market proxy for context, not recommendations. See it on the full heatmap →

Sentiment / The mood in this sector's stocks

010012

Capitulation

In Capitulation, steady

No clear edge

Since 2021, Space based earth observation & analytics has been in Capitulation and steady 7 separate times. After those, its stocks beat their usual three months 2 times (29%), by a median of −13.4 points.

Confidence: low, too few past episodes to call an edge.

1 week ago24 Skepticism
1 month ago10 Capitulation
1 year ago21 Skepticism
The seven measures, the history and every sector →
Watching the planet at commercial cadence

There are now enough satellites in orbit to image most of the planet frequently and in several parts of the spectrum. The imagery problem is largely solved. The business problem, turning pictures into decisions someone pays for on a recurring basis, is not.

Historically earth observation served governments and a small set of commercial users at high prices and low cadence. Cheap launch and small satellites inverted both the cost and the frequency.

The structural driver is that several industries now need change detection rather than a map: insurers verifying claims, lenders monitoring collateral, commodity traders counting inventory, regulators detecting emissions and illegal activity.

The technology layer spans optical, radar that sees through cloud, hyperspectral for material identification, thermal and methane sensing, plus the analytics that turn raw imagery into counts, alerts, and change reports.

Adoption economics work when imagery replaces a physical inspection or a slower data source. Verifying a claim from orbit rather than sending an adjuster is a direct and measurable substitution.

The beneficiaries include constellation operators, analytics companies building on multiple data sources, ground segment and downlink providers, and the insurers and lenders who reduce cost by adopting.

The value chain runs from satellite through downlink and processing to the analytic product. The analytic layer captures more durable value than the imagery, which is commoditising.

The overlooked layer includes ground station networks, radar and hyperspectral specialists, data fusion firms combining orbital with terrestrial sources, and the insurance analytics companies as end users.

Competitive dynamics are difficult for pure imagery providers as capacity grows and prices fall, while analytics firms with proprietary models and customer workflows hold up better.

Risks: imagery pricing is deflating, government contracts dominate revenue and are lumpy, constellation replenishment is a permanent capital cost, and several operators have restructured after overbuilding.

What to watch: imagery pricing trends, commercial versus government revenue mix, analytics contract renewals, and constellation replenishment spending.