Spero Therapeutics (SPRO) Cash & Equivalents (2016 - 2026)
Spero Therapeutics' Cash & Equivalents was $50.77 million in Q2 2026, up 62.8% from $31.19 million a year earlier but down 9.5% from the prior quarter.
Spero Therapeutics (SPRO) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Spero Therapeutics came in at $40.27 million, down 23.9% from FY2024.
- Cash & Equivalents has now declined for four consecutive years, with a five-year compound annual growth rate of -13.9% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $52.89 million in FY2024 (-30.7%), $76.33 million in FY2023 (-30.0%), $109.11 million in FY2022 (-3.1%) and $112.58 million in FY2021 (+32.1%).
- Quarterly Cash & Equivalents has moved between $31.19 million (Q2 2025) and $112.86 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 15.4%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2023 (growth of 86.0%); the worst was Q3 2022 (a decline of 55.3%).
- Per Business Quant data, SPRO's Cash & Equivalents in the three quarters before Q2 2026 was $56.13 million (Q1 2026), $40.27 million (Q4 2025) and $48.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Spero Therapeutics | 65.71 Mn | -130.08 Mn | - | 50.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.77 Mn |
| Mar 31, 2026 | 56.13 Mn |
| Dec 31, 2025 | 40.27 Mn |
| Sep 30, 2025 | 48.62 Mn |
| Jun 30, 2025 | 31.19 Mn |
| Mar 31, 2025 | 48.89 Mn |
| Dec 31, 2024 | 52.89 Mn |
| Sep 30, 2024 | 76.29 Mn |
| Jun 30, 2024 | 63.53 Mn |
| Mar 31, 2024 | 82.27 Mn |
| Dec 31, 2023 | 76.33 Mn |
| Sep 30, 2023 | 93.83 Mn |
| Jun 30, 2023 | 77.69 Mn |
| Mar 31, 2023 | 96.25 Mn |
| Dec 31, 2022 | 109.11 Mn |
| Sep 30, 2022 | 50.45 Mn |
| Jun 30, 2022 | 45.40 Mn |
| Mar 31, 2022 | 72.11 Mn |
| Dec 31, 2021 | 112.58 Mn |
| Sep 30, 2021 | 112.86 Mn |
Spero Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=SPRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();