Spero Therapeutics (SPRO) Shares Outstanding (Diluted) (2021 - 2026)
Spero Therapeutics (SPRO) posted Shares Outstanding (Diluted) of 57.97 million for Q2 2026, up 3.5% from 56.03 million a year earlier and up 1.2% from the prior quarter.
Spero Therapeutics (SPRO) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Spero Therapeutics' Shares Outstanding (Diluted) came in at 59.04 million, up 9.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for four consecutive years, with a four-year compound annual growth rate of 17.6% (FY2021 to FY2025).
- In prior years, Spero Therapeutics' Shares Outstanding (Diluted) was 54.04 million in FY2024 (+2.0%), 52.99 million in FY2023 (+41.0%), 37.59 million in FY2022 (+21.7%) and 30.9 million in FY2021.
- Quarterly Shares Outstanding (Diluted) has run from a low of 30.9 million in Q4 2021 to a high of 59.04 million in Q4 2025 over five years.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last 17 quarters, with growth averaging 4.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 1.9% in Q1 2024 to 61.1% in Q1 2023.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 57.28 million (Q1 2026), 59.04 million (Q4 2025) and 56.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Spero Therapeutics | 68.40 Mn | -127.38 Mn | - | 57.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.97 Mn |
| Mar 31, 2026 | 57.28 Mn |
| Dec 31, 2025 | 59.04 Mn |
| Sep 30, 2025 | 56.28 Mn |
| Jun 30, 2025 | 56.03 Mn |
| Mar 31, 2025 | 55.38 Mn |
| Dec 31, 2024 | 54.04 Mn |
| Sep 30, 2024 | 54.12 Mn |
| Jun 30, 2024 | 53.96 Mn |
| Mar 31, 2024 | 53.52 Mn |
| Dec 31, 2023 | 52.99 Mn |
| Sep 30, 2023 | 52.71 Mn |
| Jun 30, 2023 | 52.57 Mn |
| Mar 31, 2023 | 52.53 Mn |
| Dec 31, 2022 | 37.59 Mn |
| Sep 30, 2022 | 35.88 Mn |
| Jun 30, 2022 | 32.98 Mn |
| Mar 31, 2022 | 32.61 Mn |
| Dec 31, 2021 | 30.90 Mn |
| Sep 30, 2021 | 32.13 Mn |
Spero Therapeutics 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=SPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SPRO", "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=SPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();