Sify Technologies (SIFY) Shares Outstanding (Diluted) (2009 - 2026)
Sify Technologies (SIFY) posted Shares Outstanding (Diluted) of 108.69 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 16.4% from 93.4 million a year earlier and unchanged from the prior quarter.
Sify Technologies (SIFY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Since fiscal Q4 2009, Sify Technologies has reported Shares Outstanding (Diluted) for 67 quarters.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 19.1% (FY2021 to FY2026).
- In prior fiscal years, Sify Technologies' Shares Outstanding (Diluted) was 93.4 million in FY2025, 46.3 million in FY2024, 46.42 million in FY2023 (-0.7%) and 46.75 million in FY2022 (+3.2%).
- On a year-over-year basis, Shares Outstanding (Diluted) increased in four of the last five quarters, with growth averaging 47.2%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was fiscal Q2 2026, with growth of 101.7%; the weakest was fiscal Q4 2023, with a decline of 0.7%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior fiscal quarters was 108.69 million (Q4 2026), 93.4 million (Q3 2026) and 93.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,949.85 Bn | 3,873.01 Bn | 60.48 Bn | 7.45 Bn |
| 2 | International Business Machines | 228.00 Bn | 178.81 Bn | 9.91 Bn | 953.30 Mn |
| 3 | Cloudflare | 103.51 Bn | 87.04 Bn | 499.52 Mn | 354.33 Mn |
| 4 | Equinix | 97.35 Bn | 85.92 Bn | 1.40 Bn | 99.14 Mn |
| 5 | Nebius | 41.52 Bn | 14.95 Bn | 448.70 Mn | 282.72 Mn |
| 6 | CoreWeave | 34.23 Bn | 21.32 Bn | 1.70 Bn | 551.00 Mn |
| 7 | Verisign | 27.83 Bn | 25.04 Bn | 384.60 Mn | 91.10 Mn |
| 8 | Nutanix | 18.34 Bn | 10.03 Bn | 651.35 Mn | 292.18 Mn |
| 9 | GoDaddy | 14.21 Bn | 9.79 Bn | 828.20 Mn | 130.99 Mn |
| 10 | Sify Technologies | 831.98 Mn | 831.98 Mn | 51.65 Mn | 72.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.46 Mn |
| Mar 31, 2026 | 72.46 Mn |
| Dec 31, 2025 | 62.27 Mn |
| Sep 30, 2025 | 62.27 Mn |
| Jun 30, 2025 | 62.27 Mn |
| Mar 31, 2025 | 62.27 Mn |
| Dec 31, 2024 | 30.87 Mn |
| Sep 30, 2024 | 30.87 Mn |
| Jun 30, 2024 | 30.87 Mn |
| Mar 31, 2024 | 30.87 Mn |
| Dec 31, 2023 | 30.95 Mn |
| Sep 30, 2023 | 30.95 Mn |
| Jun 30, 2023 | 30.95 Mn |
| Mar 31, 2023 | 30.95 Mn |
| Dec 31, 2022 | 31.17 Mn |
| Sep 30, 2022 | 31.17 Mn |
| Jun 30, 2022 | 31.17 Mn |
| Mar 31, 2022 | 31.17 Mn |
| Dec 31, 2021 | 30.20 Mn |
| Sep 30, 2021 | 30.20 Mn |
Sify Technologies Shares Outstanding (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SIFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SIFY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SIFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();