Sifco Industries (SIF) Prepaid Assets (2010 - 2026)
Sifco Industries (SIF) recorded Prepaid Assets of $2.67 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 48.1% from $1.8 million a year earlier and up 5.4% from the prior quarter.
Sifco Industries (SIF) Prepaid Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries reported Prepaid Assets of $2.19 million, down 8.5% from FY2024.
- Annual Prepaid Assets has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier fiscal years, Prepaid Assets came in at $2.4 million in FY2024 (+55.0%), $1.55 million in FY2023 (-16.5%), $1.85 million in FY2022 (+3.3%) and $1.79 million in FY2021 (-23.4%).
- The fiscal Q3 2026 figure is the highest quarterly Prepaid Assets since fiscal Q2 2025.
- On a year-over-year basis, Prepaid Assets rose in five of the last eight quarters, with growth averaging 25.2%.
- Peak year-over-year performance for Prepaid Assets in the last five years was growth of 108.9% in fiscal Q2 2025, against a decline of 42.7% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.53 million (Q2 2026), $2.34 million (Q1 2026) and $2.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | Sifco Industries | 140.59 Mn | 138.61 Mn | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.67 Mn |
| Mar 31, 2026 | 2.53 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Jun 30, 2025 | 1.80 Mn |
| Mar 31, 2025 | 4.41 Mn |
| Dec 31, 2024 | 3.13 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 2.11 Mn |
| Dec 31, 2023 | 2.69 Mn |
| Sep 30, 2023 | 1.55 Mn |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.69 Mn |
| Dec 31, 2022 | 1.75 Mn |
| Sep 30, 2022 | 1.85 Mn |
| Jun 30, 2022 | 1.27 Mn |
| Mar 31, 2022 | 1.28 Mn |
| Dec 31, 2021 | 1.26 Mn |
| Sep 30, 2021 | 1.79 Mn |
Sifco Industries Prepaid Assets 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=prepaid-assets&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "SIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();