Spero Therapeutics (SPRO) Receivables - Net (2023 - 2025)
Spero Therapeutics' Receivables - Net came in at $25.36 million for Q4 2025, down 48.7% from $49.39 million a year earlier.
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Analysis
Spero Therapeutics (SPRO) Receivables - Net (2023 - 2025) Analysis & Trends
Going back to Q4 2023, Spero Therapeutics' Receivables - Net data covers 9 quarters.
- Going back by year, Receivables - Net was $49.39 million in FY2024 (+0.5%) and $49.15 million in FY2023.
- The five-year range for quarterly Receivables - Net is $868,000 (Q3 2025) to $50.76 million (Q2 2024).
- Year-over-year, Receivables - Net has declined for four consecutive quarters, with an average decline of 50.1% over the last five quarters.
- Business Quant data shows SPRO's Receivables - Net at $868,000 (Q3 2025), $24.45 million (Q2 2025) and $23.61 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Spero Therapeutics | 58.73 Mn | -137.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 25.36 Mn |
| Sep 30, 2025 | 868,000.00 |
| Jun 30, 2025 | 24.45 Mn |
| Mar 31, 2025 | 23.61 Mn |
| Dec 31, 2024 | 49.39 Mn |
| Sep 30, 2024 | 50.59 Mn |
| Jun 30, 2024 | 50.76 Mn |
| Mar 31, 2024 | 49.20 Mn |
| Dec 31, 2023 | 49.15 Mn |
API Access
Spero Therapeutics Receivables - Net 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=receivables-net&ticker=SPRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SPRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();