Solaris Energy Infrastructure (SEI) Receivables - Doubtful (2019 - 2026)
Solaris Energy Infrastructure's Receivables - Doubtful was $2.6 million in Q1 2026, up 23.8% from $2.1 million a year earlier.
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Analysis
Solaris Energy Infrastructure (SEI) Receivables - Doubtful (2019 - 2026) Analysis & Trends
At the end of FY2024, Receivables - Doubtful at Solaris Energy Infrastructure came in at $1.3 million, up 30.0% from FY2023.
- Receivables - Doubtful shows a five-year compound annual growth rate of 30.8% (FY2019 to FY2024).
- In earlier years, Receivables - Doubtful was $1 million in FY2023 (+150.0%), $400,000 in FY2022 and $1.1 million in FY2020 (+224.2%).
- The Q1 2026 figure marks the highest quarterly Receivables - Doubtful in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Doubtful (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | - |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | - |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | - |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Solaris Energy Infrastructure | 5.29 Bn | 5.55 Bn | 167.74 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.60 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 1.30 Mn |
| Sep 30, 2024 | 1.30 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Dec 31, 2022 | 400,000.00 |
| Dec 31, 2020 | 1.10 Mn |
| Dec 31, 2019 | 339,000.00 |
API Access
Solaris Energy Infrastructure Receivables - Doubtful 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-doubtful&ticker=SEI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-doubtful", "ticker": "SEI", "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-doubtful&ticker=SEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();