ЕвроТранс БО-001Р-08

RU000A10CZB9

Data on this page is shown in Russian.

Price

—

Yield

—

Maturity

07.09.2030

Coupon

Fixed

Coupon details

Amount

17.26

Accrued interest

0

Payments per year

12

Next coupon

30.07.2026

Bond details

Face value

RUB 1,000.00

Currency

rub

Subordinated

No

Amortization

Yes

Qualified investors

No

Issuer credit rating

—

Based on AI web search, not confirmed by an agency

AI signals

AI analysis

Облигация ЕвроТранс БО-001Р-08 торгуется по цене 28.24% от номинала — глубокая дистресс-зона. Доходность 68.43% формирует спред к ключевой ставке ЦБ (14%) в 54.43 п.п., что является экстремальным уровнем и сигнализирует о высоком кредитном риске, а не о «бесплатных деньгах». Рейтинг НРА RUSB (C по национальной шкале) — преддефолтный, с максимальным уровнем риска. Амортизация частично снижает эффективную дюрацию и уменьшает процентный риск, но не компенсирует кредитный. Отсутствие субординации даёт формальный приоритет в очереди кредиторов, однако при текущем финансовом состоянии эмитента вероятность полного возврата номинала низкая. Цена 28% отражает ожидания рынка по дефолту или реструктуризации. Бумага не рекомендована к покупке; текущим держателям — минимизировать потери.

This analysis is generated by artificial intelligence and is not individual investment advice. Consult a licensed financial advisor before making an investment decision. Past results do not guarantee future returns.

What if?

future payout forecast
₽
RUB 10,000RUB 10,000,000
InvestedRUB 100,000100 pcs
You get backRUB 180,395
Net incomeRUB 80,395
MonthlyRUB 1,726
Annual yield 20.7%To maturity 3.9 yrs

FAQ

When is the next coupon on RU000A10CZB9?

The next coupon payment on the ЕвроТранс БО-001Р-08 bond is on 30.07.2026.

When does the RU000A10CZB9 bond mature?

The maturity date of the ЕвроТранс БО-001Р-08 bond is 07.09.2030.

Algorithm

How BondScan works

Three stages: from hundreds of securities to a top 100 of reliable options in minutes.

🧹
1

Quick screening

We instantly remove securities with low liquidity, opaque terms and yield below the key rate.

⚖️
2

Deep analysis

The neural network compares the remaining securities: the issuer's financial health, credit quality and the yield-to-risk ratio.

🏆
3

Ranking

The best candidates are scored on three axes: reliability, yield, recommendation. The result is a ready top 100.

Performance

Proven effectiveness of the BondScan algorithm

Yield comparison: BondScan Top 100 vs the Moscow Exchange bond index (RGBITR)

BondScan Top 100
RGBITR (Moscow Exchange)
0%5%10%15%20%Jul 25OctJan 26AprJul 26+16.83%+10.1%+6.7pp
16.83%
Top 100 yield to maturity
+10.1%
RGBITR over the year (actual data)

The BondScan Top 100 offers a yield to maturity of 16.83%, which is 6.7 pp above the Moscow Exchange index (RGBITR, +10.1% over the year). The algorithm filters out hidden subordination risks and picks securities with the highest risk-adjusted premium to the key rate.

Problem

What does an investor face?

Information noise and Excel sheets

Hundreds of issues are traded on the market. To find worthwhile options you have to spend hours collecting data from different screeners, double-checking credit ratings by hand and merging everything into spreadsheets.

High coupon ≠ safety

Abnormally high yield often masks weak company finances or the status of a subordinated bond. A single default can wipe out a whole year of profit.

No time for deep analysis

Hundreds of securities on the market, each with its own financial health, ratings and payment schedules. Only an analyst can sort it out by hand.

Economics

Calculate the payback of BondScan for your capital

AI analysis of securities raises portfolio yield by 6.7 pp on average.

$11,765
Portfolio size
$1,176$58,824
$788
Additional income per year
thanks to AI analysis
$118
Annual subscription cost
≈ 1.0% of the portfolio
×6.7
Payback: extra income
exceeds the subscription 6.7 times

The subscription costs less than 1.0% of the portfolio. The extra income from BondScan ($788) exceeds the subscription by 6.7 times. BondScan pays for itself in the first month.