CapabilityB3likely · moderate confidenceUA · friendly

Russian 'Bars' drones use Chinese ZT J40 turbojets

Bottom line

Fragments of downed Russian 'Bars' drones contain ZT J40 turbojets from Chinese ZofiTech, enabling high-speed tactical UAVs.

Why it matters

The use of Chinese turbojets in Russian drones underscores the importance of monitoring Chinese military supply chains and their impact on Russian drone production and capabilities.

Victory Drones reports that fragments of downed Russian ‘Bars’ drones contain ZT J40 turbojets manufactured by Chinese ZofiTech (L.P.P. Holding). The engine specs (3.6kg dry, 392N thrust, 385mm length) suggest a supply chain that enables the production of high-speed tactical UAVs, highlighting the role of Chinese components in Russian drone capabilities.

Evidence — 1 independent origin

  • Victory Dronessource Borigin t.me
    Original text (excerpt)

    📹 ❗️ В ходе исследования фрагментов сбитых реактивных дронов-камикадзе «Барс» выявлено применение малогабаритных турбореактивных двигателей ZT J40, поставляемых чешской компанией ZofiTech (входит в L.P.P. Holding). Данная силовая установка является лицензионной модификацией агрег

NamedZT J40BarsZofiTechL.P.P. HoldingAMT NetherlandsTopicsdronescomponentschina

Related findings

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History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). Russian 'Bars' drones use Chinese ZT J40 turbojets. Hetzner OSINT, 23 September 2026. https://robotwar.io/osint-hetzner/2026-09-23--russian-bars-drones-use-chinese-zt-j40-turbojets/

@misc{robotwar-2026-09-23--russian-bars-drones-use-chinese-zt-j40-turbojets,
  title = {Russian 'Bars' drones use Chinese ZT J40 turbojets},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-23--russian-bars-drones-use-chinese-zt-j40-turbojets/}},
  year = {2026},
  note = {Hetzner OSINT finding B3}
}

Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-15.v6 · Corrections · JSON · RSS · API performance