BLZE
BackblazeDNasdaq / Software & Services
Last Price
At close
2026-07-20
Current thesis
The primary-source case remains constructive: Q1 beat guidance, B2 kept growing materially faster than the legacy backup business, AI wins added measurable ACV, and profitability improved versus last year [#SEC-8K-2026-05-04]. That combination supports the view that BLZE is becoming a more credible AI-storage and upmarket infrastructure story rather than just a low-growth backup vendor.
Posture
Defensive
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite, 7D delta 0.0.
What can break
Adjusted free cash flow was negative $1.8 million in Q1 2026, so improving earnings quality is not yet fully matched by cash generation [#SEC-8K-2026-05-04].
Momentum
100
Value
42
Sentiment
8
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $8.40 · Bull $9.50 · Bear $5.80
Data freshness
Prices
As of 2026-07-20
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-20 • Model: HYBRID_IC_RP
AI Memo
As of 2026-06-11 • Model: RankAlpha Sentiment Codex
Investment thesisAs of 2026-07-20
Investment thesis
As of 2026-07-20
Supporting evidence
What
Grade D · Defensive
Confidence Medium · Net Neutral
Target $14.83
Why
Momentum100 · Δ7d 0.0
Value42 · Δ7d +0.3
Sentiment8 · Δ7d +7.9
So what
Weak posture (Net Neutral). Prioritize risk control and patience.
Lead driver: Momentum · See technicals
Momentum
100
26% active weight
Current posture
7d trendFlat
Δ7d
0.0
Δ21d
+1.1
Value
42
39% active weight
Current posture
7d trendFlat
Δ7d
+0.3
Δ21d
+0.4
Sentiment
8
34% active weight
Current posture
7d trendImproving
Δ7d
+7.9
Δ21d
+4.3
Why this grade
Composite grade D. Momentum 99.9 / Value 41.6 / Sentiment 7.6
Fundamentals (TTM)As of 2026-07-17
Fundamentals (TTM)
As of 2026-07-17
Market Cap
$793.2M
Beta
1.28
Shares Out
60M
P/E (TTM) · Derived
-29.0
P/S (TTM)
2.03
P/FCF (TTM)
93.58
Rev YoY
+11.7%
EPS YoY
-39.9%
Gross Margin
+62.3%
Op Margin
-23.1%
Net Debt
$10.2M
Current Ratio
1.05
As of 2026-07-20 • Updated nightlySource: Internal modelMethodology

