Здесь мы рассказываем о новостях компании, рыночных трендах и инвестиционных возможностях для начинающих и опытных инвесторов.
Контакт центра по работе с инвесторами: [email protected]
Регистрация в РКН: https://gosuslugi.ru/snet/6984af8a5cc4c8c9598d10e3
Created
Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 82% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
62 measurements spanning 97 days, net +1,018. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 16,808–18,132 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
13 Nov 2026, 01:00
17,979
+638
10 Nov 2026, 20:09
17,341
+33
9 Nov 2026, 06:58
17,308
+14
7 Nov 2026, 23:18
17,294
+10
7 Nov 2026, 00:45
17,284
+12
6 Nov 2026, 01:07
17,272
+3
4 Nov 2026, 21:37
17,269
+4
4 Nov 2026, 00:45
17,265
+4
3 Nov 2026, 02:05
17,261
+4
2 Nov 2026, 05:10
17,257
+8
1 Nov 2026, 04:47
17,249
+9
31 Oct 2026, 06:27
17,240
-4
30 Oct 2026, 04:26
17,244
+1
29 Oct 2026, 05:57
17,243
+27
28 Oct 2026, 03:16
17,216
+11
27 Oct 2026, 00:55
17,205
+13
25 Oct 2026, 23:17
17,192
+5
24 Oct 2026, 22:37
17,187
+2
23 Oct 2026, 23:56
17,185
-3
23 Oct 2026, 00:14
17,188
first reading
Engagement
64 posts held, back to 23 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 76 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.5%
avg views ÷ 17,979 subscribers
Avg views / post
3,510
38 posts measured
Reaction rate
0.918%
reactions ÷ views · ER floor
Posts in window
41
of 64 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 November 2026
Posts held
64 (23 July 2026 – 12 November 2026)
Views total
133,270
Reactions total
1,223
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 05:10 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
456
Videos
27
Links
284
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 54s
Average length
58s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
2,286 reactions across 59 posts, in 7 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
787
34.4%
🔥
717
31.4%
👍
463
20.3%
👏
261
11.4%
🎉
28
1.22%
😍
20
0.875%
🤩
10
0.437%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 59 of the 64 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 2,286 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 23 July 2026 to 12 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 41 posts held from the last 30 days (14.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🏦 Стратегия 2026: главное за три года
Сегодня Сбер подвёл итоги трёхлетнего стратегического цикла и представил результаты Стратегии 2026.
🔥 Несколько цифр, которые лучше всего показывают масштаб:
🔘 более 5 трлн ₽ прибыли заработано за три года
🔘 более 2,4 трлн ₽ дивидендов выплачено акционерам — столько же, сколько за предыдущие 20 лет
🔘 3,9 трлн ₽ направлено в бюджет страны в виде налогов и дивидендов
🔘 число акци…
💚 В завершение Дня инвестора Герман Греф ответил на вопрос Клуба акционеров Сбера, который объединяет уже почти миллион участников, и поделился рекомендациями книг и сериала.
🎬 «Арсеньев» с Евгением Мироновым — исторический сериал о знаменитом исследователе Дальнего Востока и малоизвестных страницах истории России.
📖 «Человек переживающий» Ильи Латыпова — о чувствах, самопознании и понимании себя.
📖 «Всё решено: Жи…
⚡️ Герман Греф:
➡️ Базовый сценарий на 2027–2029 годы — выплата 50% чистой прибыли в виде дивидендов.
➡️ Снижение коэффициента дивидендных выплат не рассматривается как базовый сценарий.
➡️ Даже при повышении регуляторных требований Сбер может сохранить выплаты на уровне 50%, если генерации капитала за счёт прибыли будет достаточно для выполнения новых нормативов.
➡️ Сокращение дивидендов возможно только в случае…
➡️ Герман Греф:
➡️ Сбер продолжит выходить из непрофильных бизнесов, не имеющих перспектив выхода на прибыльность в среднесрочной перспективе. В частности, в сегменте e-commerce была продана убыточная сеть складов.
➡️ В фокусе Сбера — стратегически значимые направления бизнеса, обеспечивающие синергии.
➡️ Одно из приоритетных направлений — облачный бизнес, обладающий синергиями как внутри Группы, так и с клиентами…
🏦 Герман Греф:
➡️ Сбер намерен сохранять дивидендные выплаты, за исключением ситуаций, когда капитала недостаточно для поддержания необходимого буфера.
➡️ Сбер сохраняет целевой буфер к нормативу достаточности капитала на уровне 1,3%.
➡️ При повышении регуляторных надбавок к капиталу банк может быть вынужден сократить объём дивидендных выплат.
➡️ Ужесточение требований к капиталу не должно существенно ослабить ко…
🔥 Герман Греф:
➡️ Высокая прибыль Сбера обеспечивается операционной эффективностью, достигнутой благодаря масштабным инвестициям в технологии.
➡️ В ближайшие три года давление на прибыль окажет рост амортизационных расходов вследствие инвестиций в технологическую инфраструктуру.
➡️ Один из приоритетов Сбера — выполнение обязательств перед государством за счёт уплаты налогов и выплаты дивидендов.
➡️ С учётом требо…
➡️ Герман Греф:
➡️ Сбер отмечает существенное ухудшение ситуации в корпоративном секторе со 2П 2026 г. Негативный тренд, вероятно, сохранится в 2027 г.
➡️ Давление на экономику оказывают рост налоговой нагрузки, необходимость восстановления производственных мощностей, высокие реальные процентные ставки и крепкий рубль.
➡️ Сбер проактивно формировал резервы в наиболее проблемных отраслях, включая жилую недвижимость…
⚡️Герман Греф:
➡️ Клиенты старшего возраста — один из наиболее ценных и перспективных сегментов для бизнеса. Доходы Сбера от этой категории ежегодно растут.
➡️ Сбер адаптирует продукты и сервисы под потребности старшего поколения, рассматривая этот сегмент как одно из перспективных направлений развития.
➡️ Банк инвестирует в исследования в области долголетия, продления здоровой жизни и современных Anti-age техноло…
🛍️ Герман Греф:
➡️ В 2025 г. Сбер переломил тренд на рост численности персонала благодаря повышению производительности за счёт ИИ. Уже более 50% программного кода пишется ИИ-агентами.
➡️ Сбер продолжит расширять команды в приоритетных технологических направлениях, включая противодействие киберугрозам со стороны передовых ИИ-моделей, повышение надежности критических систем, развитие Physical AI и моделей мира.
💬 Те…
🔄 Герман Греф:
➡️ В рамках Стратегии до 2029 года планируется наращивать ресурсы и численность команд, задействованных в развитии ИИ.
➡️ Отдельное внимание будет уделяться развитию компетенций внутри компании.
💬 Тезис сгенерирован с помощью ГигаЧата
➡️ Герман Греф:
➡️ Окупаемость инвестиций в ИИ остаётся открытым вопросом для всех крупнейших мировых игроков.
➡️ Сбер развивает полный стек ИИ-технологий, включая большие языковые модели, генерацию видео, решения для робототехники и здравоохранения.
➡️ Экономический эффект от внедрения ИИ в Сбере превысил 1,5 трлн ₽.
➡️ В ближайшие три года Сбер продолжит наращивать инвестиции в ИИ, рассматривая их как необходим…
❤12🔥7👏5
Showing the 12 most recent of 64 posts we hold for @SberForInvestors. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 10 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“SBER для инвесторов” (@SberForInvestors), 17,979 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/SberForInvestors.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.